Help manage a diverse portfolio of Financial Solutions transactions exposed to financial market risks
Work across transaction onboarding, valuation, risk management, portfolio analytics, and process automation
Develop, maintain, and enhance quantitative models supporting pricing, valuation, risk management, and performance monitoring
Manage transaction models and analytics throughout the transaction lifecycle
Support the in-force management of Financial Market Transformation (FMT), Remote Risk Transactions (RRT), and other Financial Solutions transactions across Asia, EMEA, and the US
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
Requirements
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
Interest in financial markets, insurance, and reinsurance
Curiosity, initiative, and a continuous learning mindset
Understanding of financial market risk concepts, including interest rates, credit spreads, derivatives, hedging, and ALM