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ERM Actuary SrCompany: Munich Re America ServicesLocation: New York, United StatesThe Company is open to considering candidates in numerous locations, including New York City (NY), Princeton (NJ), Chicago (IL), Philadelphia (PA), Hartford (CT), and Amelia (OH).We are adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients.The CompanyMunich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities.As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand.Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive – from traditional reinsurance coverages to niche and specialty reinsurance and insurance products.The OpportunityFuture focused and always one step ahead!At Munich Re, we utilize extensive risk knowledge to offer expertise, financial strength, and innovative solutions to help our clients meet the difficult challenges they face in today’s world.Risk management is our strength. For us, the question is not if we can cover your risks, but how.Integrated Risk Management (IRM) develops, implements, and maintains the framework for managing risk across Munich Re’s US P&C operations.Our mission is to ensure that these risks are well understood and managed effectively through a variety of quantitative and qualitative processes.Within IRM, our regional Risk Analytics & Strategy team quantifies the risks faced by the US P&C companies using our internal economic capital model and scenario analyses.We provide senior management with an internal view of our companies’ risk profile, which is used to support the capital management and corporate risk transfer decisions of our companies.In addition, our team facilitates the development and maintenance of each company's Risk Strategy, a process that involves quantifying our risk appetite through a series of risk criteria.We regularly report on these criteria and the resulting strategies to senior management, the Board, and regulators.Beyond this, our team provides second line risk opinions to the Board or risk committee on an ad-hoc basis. This often includes the analysis of large deals and the discussion of new or emerging risk topics.In the ever-evolving landscape of risk management, we're seeking a team member who combines exceptional communication skills with a strong technical foundation and a growth mindset.You will play a crucial role in informing and influencing our key stakeholders by leveraging our risk management framework and wide range of in-house risk models.Moreover, you will have the opportunity to enhance and refine them as necessary to ensure their ongoing effectiveness.Through this work, you will develop an in-depth understanding of all of the risks facing a (re)insurance enterprise including underwriting accumulation risk, asset liability mismatch risk, and volatility in loss experience, among others.ResponsibilitiesKey responsibilities of this position include:<ul><li>Lead recurring projects in risk capital modeling, portfolio analysis, and scenario analysis, leveraging resources and data from multiple areas throughout the company.</li><li>Communicate results to senior management and other stakeholders to inform and support capital management and corporate risk transfer decisions.</li><li>Lead or support our annual Own Risk and Solvency Assessment (ORSA) and Risk Strategy update.</li><li>This involves obtaining both quantitative and qualitative information from each company and engaging in dialogues with C-suite executive management and other stakeholders.</li><li>Drive the continued development of the internal economic capital model to enhance our capabilities in capturing existing and new risks, including cyber, wildfire, and climate risk.</li><li>Perform model validation of components or entire model independently or as part of a team.</li><li>Evaluate model design and implementation relative to best practice standards.</li><li>Support the reporting process tracking changes to accumulation risk and the drivers of these changes across the US region.</li><li>Develop and deliver actuarial and risk management presentations to internal and external audiences, including training and information presentations.</li></ul>QualificationsRequired experience and technical competencies:<ul><li>Ten or more years of (re)insurance/actuarial, risk management, or equivalent experience, preferably in multiple disciplines and client-facing responsibilities.</li><li>Comprehensive knowledge of actuarial/statistical models, techniques, and their most effective and common applications.</li><li>Demonstrated ability to develop expertise on a given topic through self-learning, research, and leveraging internal experts.</li><li>Experience with statistical programming languages (e.g., R, Python) and other data analysis technical stacks (e.g., SQL, git, Azure).</li><li>Broad knowledge of insurance company processes and functions including knowledge of (re)insurance products and financial metrics.</li><li>Bachelor’s degree in mathematics, Actuarial Science, Economics, Finance, Statistics, or related field requiring modeling, programming, or quantitative analysis.</li><li>Preferred Fellow of the Casualty Actuarial Society or similar international actuarial designation or CFA Charter holder or advanced degree in Actuarial Science, Economics, Finance, Mathematics, or Risk Management.</li></ul>Key professional attributes:<ul><li>Good time management, project management, and organizational skills, including the ability to manage conflicting priorities and complete multiple tasks and projects.</li><li>Strong interpersonal skills, with the ability to build relationships, influence, negotiate, and create acceptance for proposals.</li><li>Ability to apply sound judgment, analytical mindset, and problem-solving skills to address complex and high-profile issues.</li><li>Excellent oral and written communication skills, with the ability to effectively communicate technical issues to non-technical stakeholders.</li></ul>Travel and location:Hybrid position based in New York, Princeton, Chicago, Philadelphia, Hartford, or Amelia.5–10% travel to various Munich Re offices.The base salary range anticipated for this position is $150,000 - $242,000, plus opportunity for company bonus based upon a percentage of eligible pay.In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays, and paid time off (PTO).At Munich Re, we see Diversity, Equity, and Inclusion as a solution to the challenges and opportunities all around us.Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work.We strive to provide a workplace where all of our colleagues feel respected, valued, and empowered to achieve their very best every day.We recruit and develop talent with a focus on providing our customers the most innovative products and services.We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Join us as a Technical Pricing Actuary in our Modelling & Advanced Analytics team to take your career to the next level with an international market leader.Make your mark in ActuarialThe Modelling & Advanced Analytics team, within Actuarial Global Pricing, supports the broader Actuarial function in calibrating commercial lines rating solutions through predictive modelling and market insights. The raters are used by underwriters to guide pricing and risk selection and are critical to AIG’s long-term profitability.This team works alongside Product Actuaries, Underwriters, and other teams within Global Pricing to deliver best-in-class statistical modelling, data science, and technological solutions while supporting strategic initiatives within the actuarial team.How you will create an impactThis is a fantastic role for someone who has strong modelling skills and experience in General Insurance pricing. You will work in a dedicated team focused on delivering cutting-edge technical pricing models across a breadth of portfolios and products.You will have the opportunity to learn and use our modern tools for predictive modelling, including a cloud-based machine learning platform and specialized software.The role is suited to someone who is organized and able to manage multiple projects. They should be keen to start or continue a career in the insurance industry, self-motivated to research, learn new techniques, and have a passion for using code when approaching analytical tasks.Some of the key responsibilities include:<ul><li>Work with Product Actuaries and Underwriting to build and maintain advanced statistical modelling pipelines that form the basis for rating tools and support business decisions.</li><li>Support timely delivery of prioritized modelling projects on AIG’s modelling platforms.</li><li>Train and support Actuaries in their use of advanced modelling and analytics approaches.</li><li>Enhance and standardize scalable modelling processes and tools applied across AIG’s product portfolio.</li><li>Research and develop cutting-edge algorithmic techniques to deliver transformational improvements in modelling processes and data quality.</li><li>Take ownership of projects utilizing Agile planning approaches and apply rigorous coding standards in reviewing the work of others.</li></ul>What you’ll need to succeed<ul><li>At least five years of relevant experience, particularly in Technical Pricing, Actuarial or predictive modelling.</li><li>Degree in a mathematical or computer science related discipline.</li><li>Comfortable coding in R, Python, or other languages popular for data science.</li><li>Experience in using cloud platforms and purpose-built solutions to deliver modelling pipelines is preferable.</li><li>Expertise in Excel, SQL, or other programming languages will be useful.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication, presentation, and interpersonal skills.</li><li>Experience in working within an Agile framework is preferable.</li><li>Part qualified Actuary from a recognized actuarial society is preferable.</li></ul>At AIG, we value in-person collaboration as a vital part of our culture, which helps us work together effectively and create a supportive, connected environment for our team and clients alike.Enjoy benefits that take care of what mattersAt AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package focused on your health, wellbeing, financial security, and professional development.Reimagining insurance to make a bigger difference to the worldAmerican International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers.Welcome to a culture of inclusionWe’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through learning and cultural awareness activities.AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability, or any other legally protected categories.AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities.Functional Area: AC - ActuarialAIG Europe S.A. (U.K. Service Branch) & American International Group UK Ltd

Join us as a Technical Pricing Data Scientist in our Modelling & Advanced Analytics team to take your career to the next level with an international market leader.Make your mark in ActuarialThe Modelling & Advanced Analytics team, within Actuarial Global Pricing, supports the broader Actuarial function in calibrating commercial lines rating solutions through predictive modelling and market insights. The raters are used by underwriters to guide pricing and risk selection and are critical to AIG’s long-term profitability.This team works alongside Product Actuaries, Underwriters, and other teams within Global Pricing to deliver best-in-class statistical modelling, data science, and technological solutions while supporting strategic initiatives within the actuarial team.How you will create an impactThis is a fantastic role for someone who has strong modelling skills and experience in General Insurance pricing to work in a dedicated team focused on delivering cutting-edge technical pricing models. You will work on models across a breadth of portfolios and products, and you will have the opportunity to learn and use modern tools for predictive modelling.The role is suited to someone who is organized and able to manage multiple projects. They should be keen to start or continue a career in the insurance industry, are self-motivated to research, learn new techniques, and have a passion for using code when approaching analytical tasks.Some of the key responsibilities include:<ul><li>Work with Product Actuaries and Underwriting to build and maintain advanced statistical modelling pipelines that form the basis for rating tools and support business decisions.</li><li>Support timely delivery of prioritized modelling projects on AIG’s modelling platforms.</li><li>Train and support Actuaries in their use of advanced modelling and analytics approaches.</li><li>Enhance and standardize scalable modelling processes and tools being applied across AIG’s product portfolio.</li><li>Research and develop cutting-edge algorithmic techniques to deliver transformational improvements in modelling processes and data quality.</li><li>Take ownership of projects utilizing Agile planning approaches, apply rigorous coding standards in reviewing the work of others, and manage junior resources.</li></ul>What you’ll need to succeed<ul><li>At least five years of relevant experience, particularly in Technical Pricing, Actuarial or predictive modelling.</li><li>Degree in a mathematical or computer science related discipline.</li><li>Comfortable coding in R, Python or other languages popular for data science.</li><li>Experience in using cloud platforms and purpose-built solutions to deliver modelling pipelines is preferable.</li><li>Expertise in Excel, SQL or other programming languages will be useful.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication, presentation, and interpersonal skills.</li><li>Experience in working within an Agile framework is preferable.</li><li>Part qualified Actuary from a recognized actuarial society is preferable.</li></ul>Enjoy benefits that take care of what mattersAt AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing, and financial security—as well as your professional development.Reimagining insurance to make a bigger difference to the worldAmerican International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers.Welcome to a culture of belongingWe’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through our flexible work arrangements, diversity and inclusion learning, and cultural awareness activities.AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability, or any other legally protected categories.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams, and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow, and to shape a better future for our customers and the world around us.Great to have you on board. Let's care for tomorrow.About us:The world around us is changing rapidly and so is the insurance industry. Now’s the right time to make a bold move and shape the future of insurance – this is Allianz Direct! As a pan-European online insurer of the Allianz Group, launched in 2019, Allianz Direct is on its mission to become the most customer-oriented and efficient insurer on the market. Allianz Direct is truly changing the face of insurance, in customer experience, and in technology, processes, people, and culture.An international team of business experts and engineers who live and breathe an agile way of working, are seeking to improve and change the way you do insurance. Driven by customer obsession and love for data, Allianz Direct strives for delivering an exceptional experience with a personal touch.So, what makes Allianz Direct so unique? We believe in the power of simplicity and convenience and by doing so we have managed to set new standards when it comes to online insurance.Job Purpose:In 2019 we embarked on a journey, to build the ‘future of insurance’. At Allianz Direct, our mission is very simple: we want to become the most customer-oriented and efficient insurer on the market. At Allianz Direct we see ourselves as a technology company with an insurance license. With love for data and customer obsession at the core of our culture, we want to deliver an experience that really makes our customers say: “WOW, that was great!”You will be working within the Finance team supporting the Chief Actuary to develop the target actuarial data landscape, test and implement advanced data flows and machine-learning techniques for the purpose of optimizing the loss reserving process and forecast technical performance across the full insurance scope of AZ Direct, currently 5 different countries (Italy, Spain, Germany, Netherlands, and France).Come and join this dynamic team, develop new techniques, processes and learn about the whole insurance value chain!Key responsibilities:<ul><li>You have the objective of optimizing reserving & technical performance insights through fixing legacy data shortcomings and building actuarial datasets in a flexible and consistent approach.</li><li>Ensuring the actuarial analysis remains credible with the highest level of data quality possible and enhanced collaboration with other data consumers (pricing, claims, data).</li><li>Actively contribute to defining and refining the actuarial data landscape and tools, in the context of the AZ Direct company-wide data approach</li><li>Stay abreast of uses of data in actuarial analysis, machine-learning techniques, AI applications and proactively test new approaches for discussion with the relevant corporate actuaries</li></ul>Qualifications/Key skills:<ul><li>Academic degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science, or a related field.</li><li>2-3 years of relevant professional experience in the field of data science and ideally, a solid understanding of actuarial loss reserving</li><li>Profound experience in data analysis with high fluency in SQL, Python and experience in Cloud Computing (e.g. Azure)</li><li>Expertise in data visualization with Business Intelligence tools such as Tableau, SAP Analytics Cloud or Power BI.</li><li>Fluent in English, additional languages are a plus</li><li>Accounting knowledge is ideal</li><li>Solid analytical skillset</li><li>Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.</li><li>Ability to work independently and efficiently</li><li>High level of reliability</li><li>Open-minded towards new techniques and data investigation within a growing organization</li><li>Motivation and curiosity to dig deeper into problems</li><li>International working experience is a plus</li></ul>Additional informationWe offer: Career development programs, Workwell@Allianz, Flexible working arrangements Please submit your applications only via our online tool.

Are you a Head of Technical Pricing with a desire to inspire change and dynamic solutions within a growing business? We are looking for an individual to drive the team and bring their knowledge and expertise to the table.If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special!The opportunity:The team is embedded within the business and works closely on a day-to-day basis with expert underwriters, claims handlers, finance, actuarial, sales, operations, and management. This close interaction is key to delivering detailed solutions quickly, to the people that need them.You will be working in an R&amp;D oriented team with strong cloud data engineering, data science and PowerBI skills. The team will support you and your team with the creation of robust data pipelines and implementation of pricing tools across NM, ensuring the highest standard in data quality, integrity, and governance. Working together to achieve this will allow you to focus on one of your key tasks – the collection of key pricing data across NM and production of clean, consistent pricing MI via our PowerBI dashboards.This role will be suited to a creative and flexible problem solver, with an ability to balance priorities, long-term projects and responding to ad-hoc requirements. Leading a team remotely will be a key skill to develop, as well as a desire to get into the detail when required. Data wrangling skills, along with some knowledge of SQL, are desirable for this role.What you’ll be doing:<ul><li>Support pricing model development and portfolio segmentation across National Markets ensuring consistency in model building through conducting model reviews and sharing knowledge and tools. Consistency in data is key. In this role you will provide additional support and get involved in detailed model development and portfolio segmentation work in times of high demand.</li><li>Become the Lead Pricing Expert for National Markets. You will provide technical leadership on pricing approaches in National Markets. This includes adherence to the Markel International pricing policy, as well as maintaining a log of all pricing models, and ensuring that detailed user guides and technical documentation exist for each model. The candidate is also expected to facilitate meetings, create materials and coordinate efforts across the regions for these topics.</li><li>Support large account pricing across National Markets. As a Head of Technical pricing you will create reports that highlight risks falling into these categories, documentation of the pricing process, as well as reviewing the pricing performed by the local pricing actuaries.</li><li>Production of consistent Pricing MI, providing one view across all of National Markets. You will co-ordinate the production of relevant reports, working with a range of individuals both within the Analytics team, as well as local experts in Underwriting and Claims for example. Strong project management skills are required, as input and effort from multiple teams in multiple locations will be needed to achieve this. This includes existing reports on rate change and technical ratio.</li><li>Contribute to the transition to a new pricing platform across when required by the local teams. In order to future proof our pricing capabilities, the Analytics team has explored moving existing pricing tools to an API based framework.</li><li>Ensure the business keeps up with evolving technologies aiding actuarial work, through reading research, attending conferences, and maintaining close links with developers | data engineers | data scientists.</li><li>Lead a team of Pricing Actuaries across NM. This will require comfort with being responsible for a remote team taking into consideration differences in local practices and ways of operating. Regular international travel will also be required.</li><li>Be the main point of contact for other teams across Markel, co-ordinating communication, meetings and responses to queries on NM Technical Pricing. This includes liaising with the central actuarial team in London on pricing and reserving matters, the OCUO team and colleagues across Markel International and Markel Corp.</li></ul>Our must-haves:<ul><li>Experience working as a Qualified Pricing Actuary in Commercial Lines insurance.</li><li>Experience in mentoring junior colleagues, comfortable working remotely with team members located in different countries.</li><li>Effective interpersonal skills to work with both technical and non-technical partners, including an ability to communicate to senior management when required.</li><li>Experience with SQL for data querying and manipulation; expert skills in Excel and VBA are required.</li><li>Experience with other coding languages is an advantage, in particular Python and R.</li><li>An understanding the product delivery cycle and agile methodology is an advantage, as is experience of Azure and Databricks.</li><li>Knowledge of London Market insurance practices, terminology and reporting requirements is an advantage.</li></ul>Who we are:Markel Group (NYSE – MKL) a Fortune 500 company with over 60 offices in 20&#43; countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.What’s in it for you?<ul><li>A great starting salary plus annual bonus &amp; strong benefits package…</li><li>25 days paid holiday plus Bank Holidays, with the opportunity to buy / sell extra leave</li><li>Fantastic company pension scheme, private medical and dental cover, life assurance, travel insurance cover, income protection, season ticket loan as well as other great benefits on offer</li><li>There are countless opportunities to learn new skills and develop in your career and we can provide the support needed to do just that!</li></ul>Are you ready to play your part?Choose ‘apply’ to fill out our short application, so that we can find out more about you.Markel celebrates the value of a diverse workforce that brings experience and expertise from a wide variety of backgrounds and life circumstances. Whatever your background, if you feel you meet the requirements of this role then we want to hear from you. We are also happy to consider candidates who are looking for flexible working patterns.We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.We will ensure that individuals with disabilities are provided with all reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful.

In Risk Management InfoTech we are at the forefront of Swiss Re's public cloud journey, using innovative technologies and combine it with engineering expertise. If You can bring powerful, yet simple solutions with an engineering mentality to build and extend Risk Management capabilities, then this position is for you!Your responsibilities include<ul><li>Implement and integrate actuarial models into production environments ensuring seamless execution and reliability</li><li>Act the first point of contact with the actuaries on R related changes</li><li>Work closely with the engineers to integrate the R code with the rest of the application</li><li>Ensure technical standards are met, controls are met and document the model and processes</li><li>Proactively look for optimizing and simplifying the current processes</li><li>Conduct thorough testing and validation of actuarial models to ensure accuracy and reliability in production environments</li></ul>About the teamSwiss Re launched a new strategic reserving platform for its non-life business. Through this platform we support our reserving actuaries to set our quarterly best estimates on our insurance reserves to pay-out our future obligations. The entire solution is being built natively on Azure with the actuarial community owning the models in R. The usage of R in the platform is rather exceptional, integrating with other programming languages.We are passionate about technology and eager to learn on the go. We closely collaborate with other teams and colleagues around the globe to share knowledge and engineer simple yet effective solutions. Upskilling and continuous learning is natural part of our work with focus on maintain a flexible and collaborative working environment.About YouWe are seeking a skilled and experienced actuarial application engineer with a strong background applying R programming language. The ideal candidate will have a track record in the financial services field with a focus on designing, implementing, and maintaining models and analyses using R. This role requires an understanding of actuarial concepts, statistical methodologies and the ability to translate business requirements into effective, scalable solutions.Must have:<ul><li>3 years of strong hand's on experience developing in R in a productive environment</li><li>1-2 years' experience in financial services industry</li><li>Provides attention to detail and ensures quality</li><li>Experienced self-starter, who can work independently and strong focus on solving problems.</li><li>Curious mind-set and passionate about leveraging technology to optimize the processes.</li><li>Ability to work with tight deadlines.</li><li>Bachelor's degree in engineering, mathematics, actuarial science or equivalent combination of technical education and work experience</li></ul>Nice to have:<ul><li>Hands-on knowledge of Java, Python, SQL is an advantage.</li><li>Familiarity with ML ops</li><li>Completed a few actuarial papers.</li></ul>We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.We are sending our decision to all candidates via email. If you have not heard back from us, please check your spam folder.About Swiss ReSwiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property &amp; Casualty and Life &amp; Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Milliman is an independent company that has been delivering market-leading services and solutions to clients worldwide for over 75 years. They are highly focused on data analytics and business transformation, helping companies take on some of the world's most critical and complex issues. They offer unparalleled expertise in the insurance industry, ranging from actuaries to compliance professionals, data scientists to actuarial analysts. They are committed to innovating and serving their clients to protect the health and financial well-being of people everywhere.Milliman's Property and Casualty Insurance Software (PCIS) business builds industry-leading data analysis applications that are used in loss reserving by the most successful P&amp;C insurance companies across the globe. They are looking for a P&amp;C Actuary, Commercial Software Development to work as a thought leader, subject matter expert, and technical actuary to help design, develop, and support the next generation of loss reserving solutions. This unique position will work closely with other actuarial subject matter experts and senior software engineers to brainstorm, research, design, and develop new capabilities and solutions, leveraging the latest technologies. These are and will continue to be industry leading commercial software solutions that support and enhance the work of actuaries and analysts at progressive insurers around the world.<ul><li>Work and consult with senior and forward-thinking actuaries at client companies and partners to continually drive toward and even invent the future of the actuarial marketplace</li><li>Work with a team of similarly experienced and motivated development, design, project management, and quality experts on solutions widely regarded as the best in the industry</li><li>Act as a thought leader in the actuarial and insurance reserving community, and help evangelize the innovative ideas that we develop; help the PCIS sales team convey the value proposition of new solutions to the marketplace</li><li>Remain abreast of changes and developments in the P&amp;C insurance industry, including potential future trends, concepts, and new requirements</li><li>Research and document the actuarial business logic needed in next-generation software</li><li>Code the business logic to be part of our solution using tools such as Python and R</li><li>Define and coordinate requirements for ongoing and future development of all systems, both existing and new, and document and effectively communicate the requirements to team members; prioritize requirements in coordination with the development professionals and other team management</li><li>Provide actuarial expertise to developers on a timely basis throughout the development process</li><li>Aid in the development of user documentation and test plans, and help implement both as necessary</li><li>Assist with complex support issues and training on our solutions to our clients and prospects</li><li>Join an innovative, high-growth company with a solid industry track record</li><li>Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career</li></ul>Required Qualifications:<ul><li>Fellow or Associate of the Casualty Actuarial Society (FCAS or ACAS)</li><li>5+ years in an analytical capacity as an actuary, data analyst, financial analyst, underwriting analyst, or similar role(s)</li><li>Demonstrated experience building actuarial tools and solutions using languages such as Python, R, and/or VBA</li><li>Expert level experience using modern and advanced reserving and analytical tools and approaches, or demonstrated experience researching in this area</li><li>Experience with reserving issues in numerous lines of business, both long- and short-tailed</li><li>Exposure to database and data manipulation (SQL)</li><li>Proficiency in Microsoft Office products</li></ul>Required Skills and Competencies:<ul><li>Keen analytical and problem-solving skills</li><li>Ability to work independently and manage own workflow</li><li>Must be self-motivated and possess strong oral and written communication skills</li><li>Strong team player with the ability to work productively in a team environment</li></ul>Wish List:<ul><li>Experience building dashboards and reports in data visualization/business intelligence software such as Power BI or Tableau</li><li>Firm grasp of practical approaches to data science, machine learning, and/or artificial intelligence theory</li><li>Exposure to cloud-based data analytics tools (e.g., Azure Synapse, Databricks, Azure Machine Learning)</li><li>Experience with commercial loss reserving software such as Arius, ReservePro, or ResQ</li><li>Reinsurance experience</li></ul>Milliman Benefits:Milliman offers competitive benefits which include the following based on plan eligibility:<ul><li>Medical, dental, and vision coverage for employees and their dependents, including domestic partners</li><li>A 401(k) plan with matching program, and profit sharing contribution</li><li>Employee Assistance Program (EAP)</li><li>A discretionary bonus program</li><li>Paid Time Off (PTO) starts accruing on the first day of work and can be used for any reason; full-time employees will accrue 15 days of PTO per year, and employees working less than a full-time schedule will accrue PTO at a prorated amount based on hours worked</li><li>Family building benefits, including adoption and fertility assistance and paid parental leave up to 12 weeks for employees who have worked for Milliman for at least 12 months and have worked at least 1,250 hours in the preceding 12-month period</li><li>A minimum of 8 paid holidays</li><li>Milliman covers 100% of the premiums for life insurance, AD&amp;D, and both short-term and long-term disability coverage</li><li>Flexible spending accounts allow employees to set aside pre-tax dollars to pay for dependent care, transportation, and applicable medical needs</li></ul>Location:This role will be part of the Milliman Atlanta Property &amp; Casualty group, but candidates hired into this role may work remotely anywhere in the U.S. Candidates living in the Central and Eastern time zones are preferred.Compensation:The salary range is $105,000 to $175,000, depending on a combination of factors, including but not limited to education, relevant work experience, qualifications, skills, certifications, location, etc. Employees are also eligible for an end of year performance-based bonus.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This position is ideal for a full-stack actuarial developer – an individual with a strong leadership, technical and actuarial background. This individual will be tasked with developing, maintaining, and supporting the production of actuarial models, supporting the development of data infrastructure, aligned with our data strategy.Furthermore, you will build and deploy actuarial analytics and applications at a global scale. This role can be filled either at the Assistant Vice President or Vice President level, based on candidate's demonstrated leadership and strategic skills/background.<ul><li>Vice President: Thinks strategically: designing, planning, and recalibrating projects to align with organizational objectives and optimal outcomes. Educating stakeholders in areas of technical expertise. Drive innovative and radical change.</li><li>Assistant Vice President: Understand and execute on strategic direction. Prioritize tasks requiring immediate attention and of greatest impact. Proactively identifying areas of improvement, taking initiative to drive positive change.</li></ul>While it is not essential that the candidate have full working knowledge of these functions, the candidate should aspire to delivering on these items over time, in collaboration with their direct manager and colleagues:<ol><li>Data Infrastructure: Analytical Toolkits by Portfolio<ul><li>Participate in cross-functional discussions at the portfolio level to understand key-stakeholder data needs and contributions.</li><li>Lead the design of optimal data structures by portfolio, to accommodate the needs of the Actuarial and Portfolio steering teams.</li><li>Oversee the engineering efforts as it relates to feeding back information to the optimal data structures.</li><li>Ensure the appropriate application of ADM extensions and integration of Actuarial tools and methods. Ownership of ADM APM extension data.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li><li>Actuarial Analytics: Plug and Play Actuarial Tools<ul><li>Support the regression testing, production, and maintenance, of plug and play actuarial tools, ensuring coding best practice and application of Git principles.</li><li>Ensure independent consumption from and feedback to analytical toolkits.</li><li>Capture and manage toolkit throughput and data in Stargate.</li><li>Support the development of applications to interface with the Actuaries.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of the actuaries and other stakeholders.</li></ul></li><li>Actuarial Models: Developing, Productionizing and Maintaining<ul><li>Supporting the development, regression testing, production, and maintenance, of R models; ensuring coding best practice and application of Git principles.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of key stakeholders.</li><li>Support the CICD, and Agile efforts via JIRA.</li><li>Model Governance; Document code, model design, and testing procedures for future reference.</li><li>Collaboration with CorSo Information Technology on DevSecOps</li></ul></li></ol>You will join the Global Corporate Solutions Actuarial Portfolio Management (APM) Data &amp; Analytics team. The team is comprised of a terrific group of people, a wonderfully collaborative and collegial team, comprised of diverse and talented experience – who are working on some of the most interesting problems facing our industry today!RequirementsYou are an aspirational person who is interested in learning and developing related skills. In addition, you have the following:<ul><li>5 years of experience in either: actuarial modeling, data engineering, data science or software related environments.</li><li>College degree is mandatory, higher degree preferred.</li><li>Strong working knowledge of Actuarial modeling and methods, or Data Science experience preferred.</li><li>Strong programming skill in one or more of Hadoop, Spark, Java, C, C++, Python or R.</li><li>Familiarity with cloud computing platforms such as AWS, Azure, Palantir, Google Snowflake, or GCP.</li><li>Ability to effectively communicate technical concepts to non-technical stakeholders.</li><li>Dynamic and entrepreneurial thinker, with attention to detail and willingness to take on a variety of projects and develop solutions.</li><li>Property &amp; Casualty experience and Membership in an Actuarial Society or Actuarial background is a nice to have.</li></ul>About Swiss ReSwiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. Swiss Re is an equal opportunity employer.It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

This position is ideal for a full-stack actuarial developer – an individual with a strong leadership, technical and actuarial background. This individual will be tasked with developing, maintaining, and supporting the production of actuarial models, supporting the development of data infrastructure, aligned with our data strategy.Furthermore, you will build and deploy actuarial analytics and applications at a global scale. This role can be filled either at the Assistant Vice President or Vice President level, based on candidate's demonstrated leadership and strategic skills/background.<ul><li>Vice President: Thinks strategically: designing, planning, and recalibrating projects to align with organizational objectives and optimal outcomes. Educating stakeholders in areas of technical expertise. Drive innovative and radical change.</li><li>Assistant Vice President: Understand and execute on strategic direction. Prioritize tasks requiring immediate attention and of greatest impact. Proactively identifying areas of improvement, taking initiative to drive positive change.</li></ul>While it is not essential that the candidate have full working knowledge of these functions, the candidate should aspire to delivering on these items over time, in collaboration with their direct manager and colleagues:<ol><li>Data Infrastructure: Analytical Toolkits by Portfolio
 <ul><li>Participate in cross-functional discussions at the portfolio level to understand key-stakeholder data needs and contributions.</li><li>Lead the design of optimal data structures by portfolio, to accommodate the needs of the Actuarial and Portfolio steering teams.</li><li>Oversee the engineering efforts as it relates to feeding back information to the optimal data structures.</li><li>Ensure the appropriate application of ADM extensions and integration of Actuarial tools and methods. Ownership of ADM APM extension data.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li><li>Actuarial Analytics: Plug and Play Actuarial Tools
 <ul><li>Support the regression testing, production, and maintenance, of plug and play actuarial tools, ensuring coding best practice and application of Git principles.</li><li>Ensure independent consumption from and feedback to analytical toolkits.</li><li>Capture and manage toolkit throughput and data in Stargate.</li><li>Support the development of applications to interface with the Actuaries.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of the actuaries and other stakeholders.</li></ul></li><li>Actuarial Models: Developing, Productionizing and Maintaining
 <ul><li>Supporting the development, regression testing, production, and maintenance, of R models; ensuring coding best practice and application of Git principles.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of key stakeholders.</li><li>Support the CICD, and Agile efforts via JIRA.</li><li>Model Governance; Document code, model design, and testing procedures for future reference.</li><li>Collaboration with CorSo Information Technology on DevSecOps</li></ul></li></ol>You will join the Global Corporate Solutions Actuarial Portfolio Management (APM) Data &amp; Analytics team. The team is comprised of a terrific group of people, a wonderfully collaborative and collegial team, comprised of diverse and talented experience – who are working on some of the most interesting problems facing our industry today!You are an aspirational person who is interested in learning and developing related skills. In addition, you have the following:<ul><li>5 years of experience in either: actuarial modeling, data engineering, data science or software related environments.</li><li>College degree is mandatory, higher degree preferred.</li><li>Strong working knowledge of Actuarial modeling and methods, or Data Science experience preferred.</li><li>Strong programming skill in one or more of Hadoop, Spark, Java, C, C++, Python or R.</li><li>Familiarity with cloud computing platforms such as AWS, Azure, Palantir, Google Snowflake, or GCP.</li><li>Ability to effectively communicate technical concepts to non-technical stakeholders. #LI-Hybrid</li><li>Dynamic and entrepreneurial thinker, with attention to detail and willingness to take on a variety of projects and develop solutions.</li><li>Property &amp; Casualty experience and Membership in an Actuarial Society or Actuarial background is a nice to have.</li></ul>About Swiss ReSwiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.Diversity and inclusionWe are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

This position is ideal for a full-stack actuarial developer – an individual with a strong leadership, technical and actuarial background. This individual will be tasked with developing, maintaining, and supporting the production of actuarial models, supporting the development of data infrastructure, aligned with our data strategy. Furthermore, you will build and deploy actuarial analytics and applications at a global scale.This role can be filled either at the Assistant Vice President or Vice President level, based on candidate's demonstrated leadership and strategic skills/background.<ul><li>Vice President: Thinks strategically: designing, planning, and recalibrating projects to align with organizational objectives and optimal outcomes. Educating stakeholders in areas of technical expertise. Drive innovative and radical change.</li><li>Assistant Vice President: Understand and execute on strategic direction. Prioritize tasks requiring immediate attention and of greatest impact. Proactively identifying areas of improvement, taking initiative to drive positive change.</li></ul>While it is not essential that the candidate have full working knowledge of these functions, the candidate should aspire to delivering on these items over time, in collaboration with their direct manager and colleagues:<ul><li>Data Infrastructure: Analytical Toolkits by Portfolio<ul><li>Participate in cross-functional discussions at the portfolio level to understand key-stakeholder data needs and contributions.</li><li>Lead the design of optimal data structures by portfolio, to accommodate the needs of the Actuarial and Portfolio steering teams.</li><li>Oversee the engineering efforts as it relates to feeding back information to the optimal data structures.</li><li>Ensure the appropriate application of ADM extensions and integration of Actuarial tools and methods. Ownership of ADM APM extension data.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li><li>Actuarial Analytics: Plug and Play Actuarial Tools<ul><li>Support the regression testing, production, and maintenance, of plug and play actuarial tools, ensuring coding best practice and application of Git principles.</li><li>Ensure independent consumption from and feedback to analytical toolkits.</li><li>Capture and manage toolkit throughput and data in Stargate.</li><li>Support the development of applications to interface with the Actuaries.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of the actuaries and other stakeholders.</li></ul></li><li>Actuarial Models: Developing, Productionizing and Maintaining<ul><li>Supporting the development, regression testing, production, and maintenance, of R models; ensuring coding best practice and application of Git principles.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of key stakeholders.</li><li>Support the CICD, and Agile efforts via JIRA.</li><li>Model Governance; Document code, model design, and testing procedures for future reference.</li><li>Collaboration with CorSo Information Technology on DevSecOps</li></ul></li></ul>You will join the Global Corporate Solutions Actuarial Portfolio Management (APM) Data &amp; Analytics team. The team is comprised of a terrific group of people, a wonderfully collaborative and collegial team, comprised of diverse and talented experience – who are working on some of the most interesting problems facing our industry today!You are an aspirational person who is interested in learning and developing related skills.  In addition, you have the following:<ul><li>5 years of experience in either: actuarial modeling, data engineering, data science or software related environments.</li><li>College degree is mandatory, higher degree preferred.</li><li>Strong working knowledge of Actuarial modeling and methods, or Data Science experience preferred.</li><li>Strong programming skill in one or more of Hadoop, Spark, Java, C, C++, Python or R.</li><li>Familiarity with cloud computing platforms such as AWS, Azure, Palantir, Google Snowflake, or GCP.</li><li>Ability to effectively communicate technical concepts to non-technical stakeholders.</li><li>Dynamic and entrepreneurial thinker, with attention to detail and willingness to take on a variety of projects and develop solutions.</li><li>Property &amp; Casualty experience and Membership in an Actuarial Society or Actuarial background is a nice to have.</li></ul>We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

This position is ideal for a full-stack actuarial developer – an individual with a strong leadership, technical and actuarial background.This individual will be tasked with developing, maintaining, and supporting the production of actuarial models, supporting the development of data infrastructure, aligned with our data strategy. Furthermore, you will build and deploy actuarial analytics and applications at a global scale.This role can be filled either at the Assistant Vice President or Vice President level, based on candidate's demonstrated leadership and strategic skills/background.<ul><li>Vice President: Thinks strategically: designing, planning, and recalibrating projects to align with organizational objectives and optimal outcomes. Educating stakeholders in areas of technical expertise. Drive innovative and radical change.</li><li>Assistant Vice President: Understand and execute on strategic direction. Prioritize tasks requiring immediate attention and of greatest impact. Proactively identifying areas of improvement, taking initiative to drive positive change.</li></ul>Primary ResponsibilitiesWhile it is not essential that the candidate have full working knowledge of these functions, the candidate should aspire to delivering on these items over time, in collaboration with their direct manager and colleagues:<ul><li>Data Infrastructure: Analytical Toolkits by Portfolio<ul><li>Participate in cross-functional discussions at the portfolio level to understand key-stakeholder data needs and contributions.</li><li>Lead the design of optimal data structures by portfolio, to accommodate the needs of the Actuarial and Portfolio steering teams.</li><li>Oversee the engineering efforts as it relates to feeding back information to the optimal data structures.</li><li>Ensure the appropriate application of ADM extensions and integration of Actuarial tools and methods. Ownership of ADM APM extension data.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li></ul><ul><li>Actuarial Analytics: Plug and Play Actuarial Tools<ul><li>Support the regression testing, production, and maintenance, of plug and play actuarial tools, ensuring coding best practice and application of Git principles.</li><li>Ensure independent consumption from and feedback to analytical toolkits.</li><li>Capture and manage toolkit throughput and data in Stargate.</li><li>Support the development of applications to interface with the Actuaries.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of the actuaries and other stakeholders.</li></ul></li></ul><ul><li>Actuarial Models: Developing, Productionizing and Maintaining<ul><li>Supporting the development, regression testing, production, and maintenance, of R models; ensuring coding best practice and application of Git principles.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of key stakeholders.</li><li>Support the CICD, and Agile efforts via JIRA.</li><li>Model Governance; Document code, model design, and testing procedures for future reference.</li><li>Collaboration with CorSo Information Technology on DevSecOps</li></ul></li></ul>About the Team:You will join the Global Corporate Solutions Actuarial Portfolio Management (APM) Data &amp; Analytics team. The team is comprised of a terrific group of people, a wonderfully collaborative and collegial team, comprised of diverse and talented experience – who are working on some of the most interesting problems facing our industry today!About You:You are an aspirational person who is interested in learning and developing related skills.  In addition, you have the following:<ul><li>5 years of experience in either: actuarial modeling, data engineering, data science or software related environments.</li><li>College degree is mandatory, higher degree preferred.</li><li>Strong working knowledge of Actuarial modeling and methods, or Data Science experience preferred.</li><li>Strong programming skill in one or more of Hadoop, Spark, Java, C, C++, Python or R.</li><li>Familiarity with cloud computing platforms such as AWS, Azure, Palantir, Google Snowflake, or GCP.</li><li>Ability to effectively communicate technical concepts to non-technical stakeholders.</li><li>Dynamic and entrepreneurial thinker, with attention to detail and willingness to take on a variety of projects and develop solutions.</li><li>Property &amp; Casualty experience and Membership in an Actuarial Society or Actuarial background is a nice to have.</li></ul>This job offer is suitable for people who have been impacted by the invasion of Ukraine.The minimum gross monthly base salary for this role is 2000 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.About Swiss Re Corporate SolutionsSwiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

This position is ideal for a full-stack actuarial developer – an individual with a strong leadership, technical and actuarial background. This role targets an experienced developer, with an actuarial background, to join the Global Corporate Solutions Actuarial Portfolio Management (APM) Data &amp; Analytics team.This individual will be tasked with developing, maintaining, and supporting the production of actuarial models, supporting the development of data infrastructure aligned with our data strategy, and building and deploying actuarial analytics and applications at a global scale. An ability to engage in a professional and collaborative manner with internal and external stakeholders is a requirement.About the Position<ul><li>Data Infrastructure: Analytical Toolkits by Portfolio<ul><li>Learning and development across the APM team</li><li>Participate in cross-functional discussions at the portfolio level to understand key-stakeholder data needs and contributions.</li><li>Lead the design of optimal data structures by portfolio, to accommodate the needs of the Actuarial and Portfolio steering teams.</li><li>Oversee the engineering efforts as it relates to feeding back information to the optimal data structures.</li><li>Ensure the appropriate application of ADM extensions and integration of Actuarial tools and methods. Ownership of ADM APM extension data.</li><li>Collaboration with CorSo Data Insights leadership and colleagues.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li></ul><ul><li>Actuarial Analytics: Plug and Play Actuarial Tools<ul><li>Learning and development across the APM team</li><li>Support the regression testing, production, and maintenance, of plug and play actuarial tools; ensuring coding best practice and application of Git principles.</li><li>Ensure independent consumption from and feedback to analytical toolkits.</li><li>Capture and manage toolkit throughput and data in Stargate.</li><li>Support the development of applications to interface with the Actuaries.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of the actuaries and other stakeholders.</li><li>Data Governance; Support the CorSo data governance initiatives around data ownership, quality and compliance.</li></ul></li></ul><ul><li>Actuarial Models: Developing, Productionizing and Maintaining<ul><li>Learning and development across the APM team</li><li>Supporting the development, regression testing, production, and maintenance, of R models; ensuring coding best practice and application of Git principles.</li><li>Participate in code reviews, design discussions, and other development activities to support high-quality solutions aligned with the needs of key stakeholders.</li><li>Support the CICD, and Agile efforts via JIRA.</li><li>Model Governance; Document code, model design, and testing procedures for future reference.</li><li>Collaboration with CorSo Information Technology on DevSecOps</li><li>Support the CorSo Information Technology in deployment and maintenance of industrial grade models on Costing Workbench.</li></ul></li></ul>About You<ul><li>Minimum of 5 years of relevant experience in actuarial modeling, data engineering, data science and software related environments.</li><li>Property &amp; Casualty experience preferred.</li><li>B.A./B.Sc. or higher in Mathematics, Physics, Engineering, Economics, Computer Science, Actuarial Science, Data Science, Statistics or discipline of comparable rigor.</li><li>Membership in an Actuarial Society or Actuarial background preferred.</li><li>Strong working knowledge of Actuarial modeling and methods.</li><li>Data Science experience a plus.</li><li>Strong programming skills in languages such as Hadoop, Spark, Java, C, C++, Python, R, or Julia.</li><li>Familiarity with cloud computing platforms such as AWS, Azure, Palantir, Google Snowflake, or GCP.</li><li>Strong written and verbal communication skills with an ability to effectively communicate technical concepts to non-technical stakeholders.</li><li>A strong work ethic which exhibits an ability to complete tasks working within a small group both as a member of the group and a leader of the group.</li><li>Dynamic and entrepreneurial thinker, with attention to detail and willingness to take on a variety of projects and develop solutions.</li></ul>About Swiss Re Corporate SolutionsSwiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.
Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.
During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

The SGP&amp;C Specialty Insurance Single Risk Pricing team are in the process of implementing a more data driven approach to their pricing processes with pricing model development on two web-based platforms:<ul><li>The Underwriting Platform (UP), an internal web-based application designed to be a submission to bind tool for underwriters to write risks.</li><li>Renew, a third-party software as a service (SaaS) platform for developing and deploying Python pricing models.</li></ul>With two pricing models already delivered on UP and three models being planned for 2023 delivery (Property, Casualty and D&amp;O) the pricing modules of the UP project are expected to be the focus of the role.The successful candidate will work within an experienced actuarial pricing team and will have the opportunity work with a range of stakeholders including underwriters, actuarial methods and tools team, IT, and the technology team (CTO).The role will provide an excellent opportunity to continue to develop (or kickstart) a career in the insurance/reinsurance field by developing an in demand skillset of programming, project development and insurance/reinsurance domain knowledge.Responsibilities<ul><li>Development of pricing models on these platforms present a range of interesting challenges from both an actuarial, commercial and data management perspective, these include;</li><ul><li>Working with actuarial developers who are writing and testing new pricing models to check they are working as expected.</li><li>Taking existing pricing model datasets and transforming data from old data structures to the new data model for:<ul><li>Model testing,</li><li>Calibration of the new models</li><li>And migration of pricing data to the new platform.</li></ul></li><li>Creating data access layers to sit between the data storage of the new platforms and our pricing engines.</li><li>Making sure pricing requirements within the new applications are specified and working as expected (manual and automated testing).</li><li>Helping with analysis and data provision for actuarial analysis and creation of dashboards.</li><li>Helping to write and manage pricing documentation to ensure smooth transition to the new platforms.</li><li>Managing user onboarding to the platform; explaining how the models work, answering queries, and collecting and implementing user feedback.</li><li>Helping design and update the pricing user interfaces.</li></ul><li>Python based solutions using version control (git) and project/code repository management software (Gitlab &amp; Azure DevOps) will be used to address these challenges. Examples of current Python frameworks and toolkits being used include:</li><ul><li>Flask (API deployments)</li><li>SQL Alchemy (database management)</li><li>Sphinx (documentation)</li><li>Selenium (automated application testing)</li><li>Pytest (testing framework)</li></ul></ul>The successful candidate will be primarily responsible for providing support in addressing the challenges described above whilst also providing support to the wider actuarial team when required.QualificationsThe role would suit an ambitious trainee who wants to:<ul><li>Experience a dynamic and multi-cultural actuarial team within the Specialty Insurance division of SCOR Global P&amp;C.</li><li>Has an interest in and wants to develop knowledge in system design, programming, project management and has actuarial experience, or actuarial skills and has a background in computer science/programming.</li><li>The candidate would be expected to have experience in Excel, SQL and Python (or other programming languages)</li></ul>Personal Competencies<ul><li>Communication: excellent interpersonal verbal and written skills that enable the candidate to communicate effectively with colleagues (especially underwriters), brokers and clients.</li><li>Integrity: the ability to make a principled stand where required.</li><li>Independent: a thinker with an analytical mindset.</li><li>Flexibility: the ability to manage workload and prioritise different tasks.</li><li>Personality: a self-motivator who is keen to learn and take on increasing responsibility over time.</li><li>Teamwork: ability to work collaboratively with others in the Actuarial Team</li></ul>Education<ul><li>Degree in Mathematics, Actuarial Science, Computer Science or any other scientific discipline (statistics, physics etc.) or equivalent experience</li></ul>About usSCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver “The Art &amp; Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – from Life &amp; Health and Property &amp; Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success.

Job Description<ul><li>Owning and pro-actively maintaining and improving the team’s pricing tools and processes to optimise efficiency and risk management</li><li>Mitgate and work to reduce operational risk in all areas of the team’s work</li></ul>ResponsibilitiesClient response<ul><li>Ability to manage independently all areas of client responses including ad hoc client work and tender responses.</li><li>This will include production of the required output within agreed timeframes coordinating appropriate levels of peer review, with full and accurate documentation. It will also include where appropriate required communication to the client including the preparation and carrying out of presentations. This refers to clients within SCOR (e.g. the marketing team) and external.</li><li>Agreeing the scope of all work and challenging scope creep with senior and junior team members.</li></ul>Best estimate assumption changes<ul><li>Derivation and proposal of new best estimate assumption guidelines with management of impact testing and implementation on all relevant pricing tools</li></ul>Standardisation and improvement of pricing tools<ul><li>The use of appropriate software and coding techniques to keep the UK pricing process as efficient as possible.</li><li>Identifying and scoping process and tool updates to achieve increased efficiency and reduce operational risk with regard to resource availability (e.g. adopting an MVP mindset)</li><li>Ongoing tool maintenance and improvements to team tools &ndash; scoping, building and designing testing for these improvements</li><li>Integration of ad hoc work into standard pricing tools and processes</li></ul>ERM<ul><li>Self-checking and communication of limitations of work</li><li>Identification and communication of areas where pricing guidelines aren&rsquo;t followed</li><li>Full and appropriate documentation</li><li>Challenging approaches in the team that increase operational risk</li><li>Peer review and documentation on control processes</li></ul>Knowledge sharing<ul><li>Contributing to team meetings and enhancing the knowledge of the team</li><li>Bringing new industry or technical knowledge to the team through contacts within the company or from outside.</li></ul>Management<ul><li>Direct line management including identifying development needs of reports and providing appropriate pathways</li><li>Support and training for all team members to provide a helpful and supportive team</li></ul>Your Qualifications:Experience:<ul><li>Qualified actuary (minimum 4 years post qualified)</li><li>Good knowledge of Python or R</li><li>Familiarity with data visualisation packages such as PowerBi or tableau</li><li>Experience of working both within a team and as a self-motivated individual</li><li>Management experience</li></ul>Desirable<ul><li>Knowledge of Actuarial Modelling tools</li><li>Familiarity with project management tools e.g. Azure Devops</li></ul>Other Competences: Essential:<ul><li>Knowledge of statistical analysis and data science techniques.</li><li>Ability to take ownership for your own work and time</li><li>Collaboration</li><li>Excellent formal and informal communication skills</li></ul>Required Education<ul><li>FIA &ndash; Fellow of the Institute of Actuaries</li></ul>About usSCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk.Leveraging experience and expertise to deliver “The Art &amp; Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – from Life &amp; Health and Property &amp; Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success.

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