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Financial Transactions Modeler – Drive Swiss Re’s growth with advanced financial modeling in Bangalore.
Mid-level role, hybrid work model, focus on stochastic cashflows, portfolio optimization and cross‑functional collaboration.
Opportunity Overview
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.
About the Role
As a Financial Transactions Modeler, you'll be at the intersection of financial markets and insurance, helping managing 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.
Key Responsibilities
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
About the Team
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.
About You
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.
Requirements
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
Valuable Experience
Relevant life insurance / reinsurance experience
Variable Annuities, GMxB or Index-Linked products
Working knowledge of financial markets and financial mathematics
Additional Experience
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
Hybrid Work Model
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
About Swiss Re
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 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.
Legal Notice
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.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.