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A leading trading firm in the United Kingdom is seeking a Quantitative Product Strategist to join their Global Quantitative Modeling and Analytics team. This front-office role involves developing models and tools to support trading and risk management, requiring strong programming skills, particularly in Python or C++. Ideal candidates will have 2–5 years’ experience in a quant role and excellent communication skills to bridge technical requirements with business needs.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non‑traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a Quantitative Product Strategist to join our Global Quantitative Modeling and Analytics team. This is a front‑office role that blends quantitative analysis, risk and P&L understanding, and hands‑on tool development with close collaboration across our trading, quantitative research, technology and risk teams.
The ideal candidate will be able to:
This is a unique opportunity for a hybrid profile — someone comfortable talking markets and models with researchers and traders, but equally adept discussing data pipelines, APIs, and system architecture with technologists.
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