Financial Transactions Modeler

Location: Bangalore

Skills : Stochastic Modelling, Quantitative Modelling, Python, C++, Java, Financial Markets, Financial Mathematics, Life Insurance, Reinsurance, Insurance Cashflow Modelling, Risk Modelling, GMxB, Variable Annuity.

Interested candidates can share their cv's to

Looking only for candidates who are currently in Bangalore as they are required to be in-person for the Coding assessment.

About the Role

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

Key Responsibilities

• Develop and maintain stochastic cashflow 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 detail.
• Perform regular ad-hoc investigations into existing processes and data (policy data, P&L attribution, reserving, etc.).
• Collaborate with cross-functional teams across the Organization to improve management of financial and biometric exposures.

About the Team

You'll be joining the Financial Market Portfolios team within Life & Health Transactions. The team plays a crucial role in supporting portfolio growth of Financial Solutions as part of the Organization's L&H growth strategy. The team works 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.

Required Qualifications

• 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.

Preferred Experience

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

Additional Advantageous 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, and Asset Management.

Regards,

Franklin.A

Talent Acquisition