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 [Confidential Information]

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