Financial Transactions Modeler; hybrid

Location: Folkestone, GB

Are you passionate about financial modeling and data analytics in the reinsurance space? Join our dynamic team where your analytical skills will directly contribute to our ambitious growth strategy! We're seeking a detail‑oriented Financial Transactions Modeler who can translate complex financial data into actionable insights that drive our Financial Solutions portfolio forward.

As a Financial Transactions Modeler, you'll be at the intersection of financial markets and insurance, helping manage sophisticated portfolios that are key to Swiss Re L&H growth strategy. You'll apply your quantitative expertise to model, analyze, and optimize our financial market transformation portfolios.

• Develop and maintain stochastic cashflows models for bespoke insurance transactions exposed to Financial Market risks, with focus on Variable Annuities, GMxB, and Index‑Linked portfolios
• Standardize and automate transaction reporting processes for hedging, valuation and risk management purposes
• Analyze biometric and policyholder behavior experience to support assumption updates
• Support the onboarding of new transactions with technical precision and attention to details
• Perform regular ad‑hoc investigations into existing processes and data (policy data, P&L attribution, reserving, etc.)
• Collaborate with cross‑functional teams across Swiss Re to improve management of financial and biometric exposures

You’ll be joining the Financial Market Portfolios team within Life & Health Transactions. Our team plays a crucial role in supporting the portfolio growth of Financial Solutions as part of Swiss Re L&H growth strategy. We work closely with multiple stakeholders including L&H Structured Solutions, L&H Pricing & Structuring, Quantitative Analytics, Risk Management, Finance, Treasury, and Asset Management to deliver innovative financial solutions that drive business growth and manage risk effectively.

You’re a curious, analytical thinker with strong technical abilities and a drive to understand underlying patterns in complex data. You thrive in collaborative environments where you can apply your quantitative skills to solve real business challenges. You’re results‑oriented and excited about contributing to business growth through data‑driven insights.

• Academic background in STEM with hands‑on quantitative programming experience, preferably in Quantitative Finance, Statistics, Physics, or Computer Science
• 4+ years of programming and debugging experience in quantitative modelling or analytics (preferably in C, C++, Java, Python)
• Experience with stochastic modelling, preferably of financial market risks and insurance cashflows

• Relevant life insurance / reinsurance experience
• Variable Annuities, GMxB or Index‑Linked products
• Working knowledge of financial markets and financial mathematics

• Data engineering
• Biometric experience studies, preferably using R or Python
• Insurance structuring and pricing
• Liability modelling with actuarial platforms such as Prophet/FIS IRS, AXIS, or MoSes/RAFM
• Actuarial qualification or progress towards it
• L&H insurance portfolio management
• IFRS 17, IFRS 9 and regulatory frameworks
• Collaboration with Valuation, Treasury, Risk Management, Asset Management

The base salary range for this position is between GBP 46,000 and GBP 70,000 (full time equivalent). The specific salary offered considers the requirements, scope, complexity and responsibilities of the role as well as the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

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 & Casualty and Life & Health. Combining experience…