London

Graduate

Part Qualified

Associate

Life

Health

Property & Casualty

Reserving

Data

Risk

Systems

Python

Modelling

Data Science

Coding

Motor

Machine Learning

Tyche

Excel

Psicle

Actuarial Model Data EngineerLondon – Hybrid working, 2 days per week in the officeAt Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field from data, technology, customer care and auto repair, to HR, finance and procurement, we’re a customer-obsessed market powerhouse. We all work together to be brilliant for customers, every single day.Our Corporate Actuarial teams deal with risk on a billion-pound scale. They calculate the risks and potential claims from across the organisation using market-leading techniques to maximise profitability and ensure business-wide connection.What you’ll be doingThe purpose of this role is to support the Lead Data Engineer in developing and maintaining robust data solutions for the Actuarial reserving team.<ul><li>Support the Lead Data Engineer with the development of the data modelling systems.</li><li>Develop new integrations for Claims and policy data, ensuring controls and reconciliations are in place to ensure the robustness of data.</li><li>Undertake the testing of new interfaces using tools such as Python and SAS enterprise to reconcile and identify outliers.</li><li>Ensure adoption of best practices in terms of data procurement, version control, governance, and maintenance.</li><li>Ensure that data governance and controls are followed to maintain data integrity and robustness of the models.</li><li>Improve the quality of MI and manage competing MI/data requests.</li><li>Provide analytical support and insight to inform business decisions and strategy, ensuring robustness of output.</li><li>Deliver specific tasks and projects in a timely and accurate manner, providing insights, impacts, and recommendations.</li><li>Identify opportunities for improvements to enable tasks to be performed more efficiently.</li><li>Monitor the effectiveness of models on an ongoing basis and suggest areas for development.</li><li>Interact effectively with peers in other areas to improve knowledge sharing and understand the impacts of your work.</li><li>Build knowledge of reserving and capital modelling systems and processes; develop your business and market knowledge.</li><li>Reinforce the culture and core values of DLG Insurance through appropriate behaviours and actions.</li><li>Comply with all relevant legal, regulatory, and risk management frameworks.</li><li>Own and manage risks appropriate to the role in line with the DLG Insurance risk framework.</li></ul>What you’ll need<ul><li>Relevant work experience within a data analytical role.</li><li>Good understanding of data quality principles.</li><li>Working knowledge and experience in the use of SAS, R, or Python (coding and writing data manipulation).</li><li>Experienced SQL developer.</li><li>Experience in the use of analytical tools and techniques for analysing large datasets.</li><li>Strong mathematical and Excel skills.</li><li>Passionate about modelling development, data science, and machine learning techniques.</li><li>Understanding of process orchestration, workflow, and ETL tools.</li><li>Understanding of Claims Analytics would be beneficial but not essential.</li><li>Experience using Psicle, Tyche, or other Actuarial modelling tools would be beneficial but not essential.</li></ul>BenefitsWe offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working. Core benefits include:<ul><li>9% employer contributed pension.</li><li>50% off home, motor, and pet insurance plus free travel insurance and breakdown cover.</li><li>Up to 10% annual bonus.</li><li>25 days holiday (rising by 1 each year to 28) + bank holidays and the option to buy or sell up to 5 days.</li><li>Additional optional Health and Dental insurance.</li><li>EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax-efficient way.</li><li>Buy as you earn share scheme.</li><li>Employee discounts and cashback.</li><li>Plus many more.</li></ul>Ways of WorkingOur hybrid model offers a 'best of both worlds' approach, combining home and office-working, providing flexibility for everyone. Most colleagues are in 2 days a week, and we’ll consider the flexible working options that work best for you.There’s no one else like you. That’s why you could belong here. As part of a team of brilliant individuals, you will be empowered to be the best you can be. We’re proud of who we are and what every single one of us brings.Join us. Help us keep innovating and putting customers at the heart of everything.Together we’re one of a kind.

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