Overview
In this role you will support risk and model testing for a growing asset manager in fixed income and ETFs. You will back-test strategies, maintain risk tools, and build automated tooling to back Portfolio Management, Operations, Trading, and Risk. You will collaborate with cross-functional teams to deliver client insights and strengthen the fund’s risk framework. This is a hands-on position with a clear impact on performance and risk controls, within a hybrid setup in Central London.
Pay / Benefits
- bonus scheme
- hybrid work arrangement
- central London location
Responsibilities
- Back-test proposed strategies and analyze third-party strategies to assess historical performance
- Build and maintain Excel, Python, Imagine and SQL-based tools to support Portfolio Management, Operations, Trading and Risk
- Support product structuring and fund regulatory applications
- Prepare fund metrics and client materials; maintain databases and marketing materials
- Analyze stress-test and VaR risk measures and review risk reports
- Support risk management and other business areas as needed
- Assist in implementing automated tools for Portfolio Management, Operations, Trading, Sales and Risk
- Analyze and test through the fund regulatory applications and ensure robust tooling
Key requirements
- PhD or Masters in a relevant field
- 3 years of experience in quantitative finance or a related role
- Quantitative finance knowledge including fixed income products and derivative pricing
- Programming experience with Python, Excel, SQL; ability to understand and extend complex code
- Experience with GIT; familiarity with VBA, JavaScript and noSQL databases is a plus
- Python
- Excel
- SQL
- GIT
- Fixed income
- Derivative pricing
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