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Location: Bangalore, KA, IN
Are you passionate about quantitative modelling, financial markets, and reinsurance? Join Swiss Re's Financial Market Portfolios team and work at the intersection of reinsurance, financial markets, and technology, supporting innovative Financial Solutions and capital management transactions across global markets.
About the Role
As a Portfolio Manager, you will help manage a diverse portfolio of Financial Solutions transactions exposed to financial market risks. You will work across transaction onboarding, valuation, risk management, portfolio analytics, and process automation, collaborating with experts across Swiss Re's global organization.
Key Responsibilities
Develop, maintain, and enhance quantitative models supporting pricing, valuation, risk management, and performance monitoring
Manage transaction models and analytics throughout the transaction lifecycle, from onboarding through ongoing portfolio management
Support the in-force management of Financial Market Transformation (FMT), Remote Risk Transactions (RRT), VA GMxB, Longevity, and other Financial Solutions transactions across Asia, EMEA, and the US, with a focus on Asia
Automate modelling and reporting processes using modern programming, data analytics, and AI-assisted development tools
Perform transaction performance analyses, investigations, and portfolio monitoring to identify key drivers and improvement opportunities
Support the onboarding of new transactions and products (e.g., IUL, FIA, RILA), coordinating with cross-functional teams to ensure smooth implementation
Collaborate with stakeholders across L&H Structured Solutions, Trading & Structuring, Quantitative Analytics, Client Markets, Financial Risk Management, Financial Lines Valuation, Treasury, and Market Units
About the Team
The Financial Market Portfolios team manages a diverse portfolio of Financial Solutions transactions and plays a central role in supporting business growth through robust valuation, risk management, portfolio analytics, and performance monitoring.
About You
We are looking for candidates with:
A degree in Actuarial Science, Mathematics, Statistics, Quantitative Finance, Computer Science, Physics, or a related quantitative discipline
6+ years of experience in quantitative modelling, actuarial modelling, financial analytics, or related fields
Strong programming and debugging skills, preferably in Python, R, C/C++, or C#
Strong analytical, problem-solving, and communication skills, with the ability to communicate complex quantitative concepts effectively
Interest in financial markets, insurance, and reinsurance
Curiosity, initiative, and a continuous learning mindset
These are additional nice to haves:
Experience in structured reinsurance or financial markets transactions
Understanding of financial market risk concepts, including interest rates, credit spreads, derivatives, hedging, and ALM
Experience with actuarial modelling platforms such as Prophet, AXIS, or RAFM
Experience with modern software development tools (e.g. Git, GitHub) and AI-assisted development tools (e.g. ChatGPT, Claude) to improve process efficiency
Knowledge of IFRS 17, IFRS 9, EVM, and local statutory valuation frameworks
Professional qualifications such as FSA, CERA, CFA, FRM, or equivalent
We welcome applications from candidates with varying levels of experience. The final level and title will be determined based on the successful candidate's skills, experience, and qualifications. Candidates with less experience may be considered for an appropriate role within the team.
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