Overview
In this role you will develop and enhance quantitative models in a C++ core library and build trading tools in Python, supporting a client-facing cross-asset platform. You will collaborate with technical portfolio managers to deliver valuation, risk, scenario and P&L analytics across rates and other asset classes. The position blends deep quant work with client support, aiming to advance the firm’s cutting-edge analytics for real-time pricing and trading decisions.
Responsibilities
- Contribute to development and enhancement of the core Quant Analytics library (C++)
- Develop and improve trading tools used by clients (Python)
- Provide ongoing client support across asset classes (Rates, FX, Equities, Credit, Commodities)
- Maintain BAU systems and processes
- Collaborate with technical portfolio managers in a market-focused quant group
- Work on valuation, risk, scenario and VaR calculations for a wide range of derivatives and fixed income products
- Support the web-based Portfolio Management System providing real-time pricing, risk and P&L
Key requirements
- experience with rates models and analytics
- proficiency in C++
- proficiency in Python
- client-facing support experience
- cross-asset analytics familiarity
- client-facing communication
- team collaboration
- problem-solving orientation
- C++
- Python
- derivatives analytics
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