Portfolio Manager

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