Senior Portfolio Manager – Financial Solutions & Analytics

Swiss Re; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Swiss Re is seeking a Portfolio Manager to oversee a diverse portfolio of Financial Solutions transactions with emphasis on Asia. You will lead quantitative modelling, pricing, risk management and portfolio analytics across onboarding through ongoing management.

The role requires 6+ years in quantitative modelling and strong programming in Python, R, C/C++, or C#. You will collaborate internationally with multi-disciplinary teams to automate processes and drive performance improvements.

Qualifications

• Degree in Actuarial Science, Mathematics, Statistics, Quantitative Finance, CS, Physics or similar.
• Minimum 6+ years in quantitative modelling, actuarial modelling or financial analytics.
• Strong programming and debugging skills in Python, R, C/C++ or C#.
• Ability to communicate complex quantitative concepts clearly and effectively.
• Interest in financial markets, insurance and reinsurance.

Responsibilities

• Develop, maintain, and enhance quantitative models for pricing, valuation, risk, and performance monitoring.
• Manage transaction models and analytics across onboarding to portfolio management.
• Support on‑going management of FMT, RRT, VA GMxB, Longevity and other Financial Solutions in Asia, EMEA, US.
• Automate modelling and reporting using modern programming, data analytics and AI tools.
• Analyze performance, identify drivers and opportunities for improvement.
• Assist onboarding of new transactions and products with cross‑functional teams.

Skills

Python

R

C/C++

C#

Actuarial modelling

Quantitative analytics

Communication skills

Education

Actuarial/Math/Quantitative field

Tools

Git

GitHub

Prophet

AXIS

RAF M

Job description

Swiss Re is seeking a Portfolio Manager to oversee a diverse portfolio of Financial Solutions transactions with emphasis on Asia. You will lead quantitative modelling, pricing, risk management and portfolio analytics across onboarding through ongoing management.

The role requires 6+ years in quantitative modelling and strong programming in Python, R, C/C++, or C#. You will collaborate internationally with multi-disciplinary teams to automate processes and drive performance improvements.