Armonk NY

Bangalore

Charlotte NC

Hove

Leawood KS

London

Remote

Stockholm

Part Qualified

Associate

Qualified

Life

Health

Property & Casualty

Reinsurance

Python

Data Science

Experience Analysis

Prophet

Coding

Pricing

Machine Learning

Excel

Tableau

Emblem

This role is based within the Innovation department but may also be required to support pricing and research activities. The role is expected to give exposure to the team’s larger data projects which will involve data analytics, programming, and machine learning techniques. As part of this role, the successful candidate will work with all areas within SCOR Global Life UK to obtain new business and to aid the development of new market initiatives to deliver profitable business. The team also provides opportunities to work with members of the global SCOR team as well.ResponsibilitiesExperience/Lapse Analysis<ul><li>Analyse data provided by clients, to suggest pricing bases for quotes and product development or to provide information for the commercial decisions of our clients</li><li>Analyse internal data to contribute to MI, profitability analysis, client management and research</li><li>Identify appropriate external research and derive analyses from external data sets</li></ul>Research<ul><li>Contribute to SCOR’s research activities and ad-hoc opportunities as required</li><li>Produce accurate documentation of research work carried out and help write reports and presentations to communicate findings both internally and externally</li></ul>Large data handling and exploration<ul><li>Support the development of large internal databases at the centre of the firm’s long term data strategy</li><li>Learn, develop and deploy the necessary techniques and tools required to analyse large datasets for commercial insight</li></ul>Customer Service<ul><li>Develop relationships and provide excellent customer service, both internally and externally to help deliver the company’s brand/plans</li></ul>Change Management<ul><li>Pro-actively consider different ways of doing things to improve efficiency</li><li>Present suggestions to develop new business opportunities</li></ul>Required experience &amp; competenciesEssential:<ul><li>Experience of working both within a team and as a self-motivated individual</li></ul>Desirable:<ul><li>Experience of mortality/morbidity analysis</li><li>Pricing experience</li><li>Experience in handling and analysing large datasets</li></ul>Personal Competencies:<ul><li>Excellent analytical skills</li><li>Self-motivation</li><li>Customer focus</li><li>Team work</li><li>Attention to detail</li><li>Excellent communication and interpersonal skills</li></ul>Required EducationEssential:<ul><li>Good working knowledge of Microsoft packages (particularly Excel/Access)</li><li>At least entry level knowledge of Python and/or R or the desire to learn coding</li></ul>Desirable:<ul><li>Knowledge of UK/Irish protection market</li><li>Some Actuarial training (actuarial trainees or those who have given up exams will both beconsidred)</li><li>Knowledge of PROPHET</li><li>Knowledge of SAS</li><li>Knowledge of data visualisation techniques and software (e.g. Tableau)</li><li>Knowledge of machine learning techniques</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.

Your role at a glanceWe have a great opportunity for a part qualified actuary to join our Retail Protection team here at L&amp;G.In this role you will support the Risk Pricing team to help maintain L&amp;G as one of the UK’s leading market providers of Individual Protection products. You will do this by helping to develop and deliver experience investigations, assumption settings and methodologies to enable Retail Protection to meet its business goals.This is a hybrid working opportunity that will allow you to work effectively from home or the office and can be based from either our Hove or London Offices. What you'll be doing<ul><li>Developing and maintaining the data integrity of an experience analysis system for Retail Protection business to ensure that key data is easily accessible for use within the wider Commercial team.</li><li>Interpreting the results of the experience investigations to develop and refine the pricing and best estimate basis, using data analysis and modelling techniques.</li><li>Maintaining and managing the existing suite of products and assisting in the delivery of new projects and initiatives developed within the business unit.</li><li>Assisting in the development and integration of the risk framework to ensure that it meets the necessary requirements.</li><li>Developing new and existing products by providing data analysis expertise and any additional support as required.</li><li>Using Actuarial, Machine Learning and/or Statistical techniques to create new scalable solutions to business problems.</li></ul> What we're looking for<ul><li>A part qualified actuary who is making good progress through the IFoA Exams.</li><li>Degree with significant statistical or data science components would be highly advantageous.</li><li>Previous experience of assumption setting within a Life Insurance environment would highly advantageous.</li><li>Knowledge of a relevant actuarial/statistical modelling platforms (e.g. Emblem) and data manipulation tools (e.g. SAS or R) would be highly advantageous.</li><li>An understanding of Individual Protection products and key issues associated.</li><li>Conceptual thinking ability with the ability to solve hard, abstract problems with smart, creative and elegant solutions, with a preference for simplicity.</li><li>Knowledge and understanding of Microsoft Office applications, including the ability to manipulate complex spreadsheets and VBA code.</li><li>Effective planning &amp; organisation skills with the ability to manage own time and appropriately prioritise multiple demands, disciplines and functions.</li><li>Ability to build effective relationships with stakeholders and colleagues to support the delivery of key projects on time.</li></ul> BenefitsWhen you commit to Legal &amp; General, we’ll commit to you too. That means we’ll recognise and reward your hard work, your performance and your contribution.If you join us, you’ll get access to some great benefits, including private medical insurance, at least 25 days holiday (excluding bank holidays), a generous pension scheme, life assurance, and Income Protection. You can participate in our electric car scheme, which offers employees the option to hire a brand new electric car through tax efficient salary sacrifice. We’re also proud to offer competitive family leave.You’ll have the opportunity to participate in our annual, performance-related bonus plan and valuable share schemes. And then there are the many discounts we offer that you can take advantage of – both for our own products and at a range of high street stores and online offerings.Legal &amp; General runs a highly regarded Actuarial Rotations Programme for students, which you will be a part of. The role you are applying to is part of our rotational program, designed to further develop and enhance your skills, and as part of this program you will be expected to rotate in both of our sites in London and Hove.About L&amp;GThe brand with the brolly is choosing today to change tomorrow.Since 1836, we’ve grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands.We’re all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet.We need people who share our ambitions, agility and entrepreneurial spirit to help us do it.At L&amp;G, you’ll find a balance that helps you be your best. Empowered by hybrid working, we’re supported by technology and workplaces that enable us to work effectively wherever we are. We come together in offices to collaborate and connect, and use time at home for individual, focused activities. And, when we achieve great things, we celebrate our success and reward strong performance.Today, there’s over 10,000 of us, working towards our mission, with plenty of opportunities to grow your career as we grow L&amp;G. Will you join us? About the business areaLife can sometimes be unpredictable, and it pays to plan ahead. Our aim at Legal &amp; General Retail is to help our customers plan for the unexpected, achieve financial security for their tomorrow, and protect everything that’s important to them. To better understand our customers and meet their needs, we’ve brought our protection, retirement income, savings, lending and advice, fintech and mortgage businesses under one umbrella. Created at the start of 2022 through the merging of our long-standing and trusted retail retirement and insurance businesses, we’re a fast-growing division with big, customer-centered ambitions.Our commitment to Equal OpportunitiesGreat minds don’t have to think alike, so we welcome voices from all backgrounds. Bringing together people with different life experiences helps us build empathy with our customers and drive innovation.We don’t just talk about it, we actively promote diversity and equitable opportunities for all. That means our employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or protected veteran status. In fact, we embrace every dimension of diversity to reflect the customers and communities we serve.We think it’s important to create an inclusive environment where we can all belong, contribute and drive progress, where you can develop and grow, and be empowered. We want you to use your voice to help us build a better tomorrow.We all work differently, and have different needs, which is why. we’re always open to discussing flexible working arrangements. Likewise, we’re committed to finding reasonable accommodations for candidates with specific needs during our recruiting process.So whoever you are, wherever you are, whatever your story, we'd love to hear from you.

ResponsibilitiesData analytics and servicesEnhance the strategy for SCOR’s data analytic services in the Nordics.Conduct experience studies in collaboration with our Data analytical services team.Develop the scope and depth of SCOR’s data analytical client services.PricingPrepare and evaluate reinsurance offerings and actuarial pricings in a timely, reliable and consistent way.Support the development of pricing methods, tools and local guidelines incl. actuarial base assumptions.Product developmentPrepare actuarial calculation bases for customer products.Product development for customer acquisition.Marketing and communicationActively contribute to internal and external knowledge sharing.Experience:Multi-year specific work experience in (re)insurance with a focus on mathematical/statistical and actuarial issues, ideally with data analytical expertiseComprehensive knowledge in insurance mathematicsGood knowledge of the protection and pension product landscape of the Nordic life insurance market.Personal Competencies:Advanced analytical and conceptional skillsPersonal competencies according to company valuesIntrinsic motivation to collaborate with other teams at various locationsAdvanced communication skillsDigital Competencies:Advanced IT skills of standard software (MS Office)Advanced coding/ programming skills (e.g., R, Python)Data analytical experience (e.g., portfolio studies, GLM, machine learning)Agile project managementRequired EducationUniversity degree/ Master degree in Mathematics or Economics with the main focus on Mathematics and statistical skillsPreferably membership in actuarial association/qualified as an actuary or equivalency from a recognized organizationAbout 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 DescriptionThis position is an integral role in the department and will perform mortality and lapse experience studies using the company’s internal life reinsurance data to support research, assumption setting, and other purposes. The position may also assist in building/modifying/implementing data analytic and machine learning models as well as data visualization tools to provide insights into the company’s data and experience. In addition, this position will collaborate with various departments, as necessary. This includes working with Operations and IT to address requests or questions necessary to produce the experience studies or to understand the results while analyzing the studies. It also includes occasionally partnering with Pricing, Financial Solutions, Inforce Optimization, and Finance to support their objectives. This position can be located in either Charlotte, NC or Leawood, KS with remote options considered depending on the candidate.Responsibilities<ul><li>Analyze claims experience and policyholder behavior to prepare mortality and lapse studies</li><li>Optimize the process and maintain tools used to produce these studies </li><li>Maintain a procedure for ensuring the accuracy of studies produced with documentation of key controls</li><li>Create user-friendly extracts from mortality and lapse studies to support work performed by other teams including creation and maintenance of Tableau dashboards</li><li>Build, modify, and/or implement machine learning models and data analytical tools for use in understanding drivers of claims experience</li><li>Work across departments to provide data, results, or analysis from the experience studies when requested</li><li>Provide support to best-estimate assumption setting and other actuarial functions of the company, as required</li><li>Perform other tasks as needed to accomplish the goals of the Experience Analysis department</li></ul>Qualifications<ul><li>Two or more years of actuarial experience involving life insurance. </li><li>Either Associateship in the Society of Actuaries (ASA) or at least four exams passed towards the designation.</li><li>Participation in the Actuarial Student Program with intent to complete the educational requirements to become a Fellow in the Society of Actuaries.</li><li>Solid mathematical analysis skills with strong problem-solving ability</li><li>Excellent verbal and written communication skills</li><li>Strong collaboration skills</li><li>Highly motivated/self-starter</li><li>Must be able to work effectively as part of a team and independently with readiness to travel on occasion</li><li>High level of computer literacy with strong skills in MS Office </li><li>Experience with or ability to quickly learn SQL Server Management Studio</li><li>Experience with or ability to quickly learn Tableau</li><li>Experience with or ability to quickly learn R and/or Python </li><li>Regular attendance and ability to work extended hours as necessary to meet deadlines</li><li>Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Finance or related area</li><li>Associate of the Society of Actuaries (ASA) with current compliance with Continuing Professional Development requirements or significant progress towards ASA designation (four+ exams)</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.

<div>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. About the RoleMake a difference in your career journey with the second biggest reinsurance company in the world with 12,000+ erse employees in over 60 offices worldwide. This is your opportunity to be part of the Reinsurance Business unit working closely with our underwriting units and other business functions globally.Our location at the heart of Bangalore has been witnessing sustainable growth - the kind of growth characterized by the complex and differentiated value delivered to the business.This position is an exciting opportunity to join the Actuarial and Analytics function located in Bangalore. The focus of this role would be to design and support of the existing and future underwriting tool landscape. You will be part of a team working on spear tip research topics in the insurance industry. You will venture out of your comfort zone to share views, hypothesize, and brainstorm solutions, and then fully focus on execution together with the team.This role also provides a unique opportunity to pursue further Actuarial academics by providing financial support in terms of membership registration, reimbursement of course fee, exam preparation material and time off. Also, there are salary increments for each successful exam attempt.  About You<ul><li>Master's degree in Statistics/Data Science/Mathematics/Actuarial Science (Min. 1 or 2 actuarial exams will be preferred)</li><li>2 or more years of working experience in the field of Actuary, Underwriter, Data Scientist, or other similar roles</li><li>Good knowledge of applied math (probability theory, mathematical statistics).</li><li> Basic knowledge of (re)insurance concepts</li><li>Strong knowledge in scripting languages like R python</li><li>Knowledge in database management systems using SQL or similar</li><li>Strong learning motive, curious and motivated to drive topics on your own</li><li>Excellent oral and written communication skills</li><li>Ability to provide high quality work and deliver to deadlines</li><li>Work in cross-functional international self-organizing team.</li><li>Interest to apply data-science techniques to gain actionable business insights</li><li>Familiarity of machine learning algorithms</li></div>

About Swiss Re

 

<div class="swissre_jobtemplate">
Swiss 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. 

 

 
</div>
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<h2 style="text-align:justify">About the Unit</h2>

Make a difference in your career journey with the second biggest reinsurance company in the world with 13,000+ diverse employees in over 60 offices worldwide. This is your opportunity to be part of the Swiss Re Institute working closely with our underwriting units and other business functions globally.

Our location at the heart of Bangalore has been witnessing sustainable growth - the kind of growth characterized by the complex and differentiated value delivered to the business.

Swiss Re's Casualty Research and Development department empowers casualty business by improving our understanding of Casualty business, identify future trends and to apply this knowledge to business challenges faced by us and our clients. We are a large multi-national team operating out of Zurich, New York and Bangalore and a wide variety of cultural and professional backgrounds. We specialize in Casualty modeling (the flagship Liability Risk Drivers™ being our patented comprehensive forward-looking model) as well as Data Science for Casualty. 

<h2 style="text-align:justify">Your opportunity</h2>

This position is an exciting opportunity to join the Insights wing of overlap of Underwriting-Actuarial-Analytics function located in Bangalore. The focus of this role would be to work for Underwriting Casualty Policy renewals for Insurance companies and carriers for the Americas Casualty portfolio,  design and support of the existing and future costing and underwriting tool landscape, curating critical insights using current and future use cases on claims and exposures, helping fine-tune the current and future improvements to team offerings, mandates and endeavors - at a scale and volume handled by leveraging data science techniques, platforms and tech infrastructure

You will be working together with our external and internal, business, and technical partners to identify and address the business needs. 

You will be part of a team working on spear tip research topics in the insurance industry. You will venture out of your comfort zone to share views, hypothesize and brainstorm solutions, and then fully focus on execution together with the team.

You will work in cross-functional international self-organizing team in an Agile project setup and strive for the excellence of Swiss Re's Casualty book of business.

You will be supported to further develop your skills in Actuarial/Statistical/Machine Learning/Programming and Technology. 

<h2 style="text-align:justify">About You</h2>

<ul>
	<li style="text-align:justify">Master's Degree in Actuarial Science/Mathematics/Statistics (Min. 1 or 2 actuarial exams will be preferred)</li>
	<li style="text-align:justify">5 or more years of working experience in the field of Actuary, Underwriter, Data Scientist or other similar roles</li>
	<li style="text-align:justify">Good knowledge of applied math (probability theory, mathematical statistics)</li>
	<li style="text-align:justify">Proficiency in programming languages suitable for database access, scripting and statistical analysis</li>
	<li style="text-align:justify">Experience in database management systems using SQL or similar </li>
	<li style="text-align:justify">Apply data-science techniques to gain insights</li>
	<li style="text-align:justify">Willingness to familiarize with Casualty insurance business</li>
	<li style="text-align:justify">Must be able to interpret business specs and ask clarifying questions</li>
	<li style="text-align:justify">Willingness to understand and question the underlying data</li>
	<li style="text-align:justify">Excellent oral and written communication skills</li>
	<li style="text-align:justify">Strong learning motive </li>
	<li style="text-align:justify">Ability to work accurately and deliver to deadlines </li>
	<li style="text-align:justify">Fluent English written and spoken</li>
	<li style="text-align:justify">Self-driven and motivated</li>
</ul>

<h2 style="text-align:justify">Nice to have</h2>

<ul>
	<li style="text-align:justify">Familiarity of the Casualty business and the relevant risk drivers behind Casualty losses </li>
	<li style="text-align:justify">Knowledge of text mining using web scraping, NLP or Deep learning</li>
	<li style="text-align:justify">Knowledge of solving problems using machine learning techniques</li>
	<li style="text-align:justify">Experience in scripting languages like R or Python or PySpark</li>
</ul>

We are looking forward to your application!
<div class="swissre_jobtemplate">
 
Keywords:   
Reference Code: 111695 

 
</div>

About Swiss Re

 

<div class="swissre_jobtemplate">
Swiss 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. 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.

 

 
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About the Team

 

Our vision is to power the Casualty business with forward looking analytics and to innovate how we underwrite. As Swiss Re's Casualty Research and Development department we are passionate about researching trends relevant for the Casualty portfolio and translating our work into impactful strategic business insights. Our work ranges from crafting the strategic outlook of the Casualty lines with midterm trend assessments, to developing short term forecasting models for costing parameters. Our Data Science team applies machine learning techniques to unlock the potential of internal and external datasets, while the Modelling team develops costing methodologies, like our patented Liability Risk Drivers™ forward-looking model and the modelling tools needed to advance underwriting excellence in Casualty.

 

We are a multi-national team of around 25 operating out of Zurich, New York and Bangalore and a wide variety of cultural and professional backgrounds. We are part of the Swiss Re Institute working closely with our underwriting units and all business functions globally. The Casualty R&amp;D Americas team consists of 4 Actuarial Analysts, well integrated in the broader Casualty community.

 

About the Role

 

Are you wondering what impact social inflation is having on insurance claims in the US? Are you eager to drive the success of Swiss Re's Casualty business with your analytical and creative approach? If those questions resonate with you, we have a job for you!

 

As an Actuarial Analyst you build on your broad Casualty knowledge and quantitative skills to develop and deliver concrete analytical insights for the US reinsurance and direct business.

 

Your main responsibilities include:

<ul>
	<li style="text-align:justify">Track Casualty-relevant analytics and emerging trends that influence underwriting and stay ahead of market changes</li>
	<li style="text-align:justify">Source and analyze data sets (e.g. accident statistics, court filings etc.) to identify leading indicators that underlie loss and rate trends.</li>
	<li style="text-align:justify">Collaborate with our internal and external partners to identify and address their business needs. Build a trusted relationship with portfolio owners.</li>
	<li style="text-align:justify">Lead and contribute to topics and projects delivering tangible research insights to portfolio owners </li>
	<li style="text-align:justify">Develop forward-looking views for strategic portfolio steering and capital allocation, identifying risks and opportunities.</li>
</ul>

 

About You

 

You bring the following qualifications:

<ul>
	<li style="text-align:justify">3 or more years of work experience in Insurance or Reinsurance – with strong underwriting, actuarial, portfolio management or pricing expertise in US Casualty lines</li>
	<li style="text-align:justify">Strong academic background in a quantitative field (e.g. math, computer science, natural science, engineering, economics)</li>
	<li style="text-align:justify">Hands-on experience in R or similar programming language and ability to carry out your own analyses is preferred</li>
	<li style="text-align:justify">Demonstrable track record in delivering research and analytics insights to the business</li>
</ul>

 

We all rely on our independence and dedication to achieve our goals. Therefore, you:

<ul>
	<li style="text-align:justify">Want to make a difference</li>
	<li style="text-align:justify">Are comfortable in drawing forward looking business insights under uncertainty, balancing data and own judgement</li>
	<li style="text-align:justify">Have a strong eye for the business, being able to focus on details without losing sight of the bigger picture.</li>
	<li style="text-align:justify">Have strong strategic thinking and problem-solving skills, flair for numbers and mathematics</li>
	<li style="text-align:justify">Have strong verbal and written communication skills</li>
	<li style="text-align:justify">Are curious, creative, and self-motivated to drive topics independently</li>
</ul>
<div class="swissre_jobtemplate">
 

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.

 

Keywords:   
Reference Code: 109811 

 
</div>

Life Actuary Jobs and Career Opportunities in the Life Sector