Quantitative Product Strategist in London

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 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:

• Act as a desk strategist, developing analytic models and tools to support trading and risk management.
• Work closely with technologists to validate models and analytics, transform prototypes into robust production systems.
• Translate trader and researcher requirements into clear technical specifications and project plans.

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.

Key Responsibilities

• Partner with traders, desk strategists, and researchers to design and enhance risk, P&L, and analytic tools.
• Prototype and implement quantitative models and curve construction tools for fixed income markets.
• Perform data analysis to validate and improve model inputs, calibration, and outputs.
• Collaborate with technology teams to productionize models and integrate analytics into live trading/risk systems.
• Translate vague requests from the trading desk into clear, mathematical, and functional specifications for software engineers.
• Act as a conduit between front‐office stakeholders and developers, ensuring business requirements are clearly captured and translated into technical designs.
• Lead the User Acceptance Testing for new system releases, ensuring the numbers produced by the Tech team match the expectations of the Quantitative Research team.
• Maintain and improve existing quantitative tools, responding to evolving market conditions and desk needs.
• Monitor daily risk and P&L outputs, investigating discrepancies and improving accuracy.
• Collaborate with data engineers to streamline the flow of market data into pricing models.

Qualifications & Experience

• Background in quantitative finance, financial engineering, applied mathematics, physics or related technical field.
• 2–5 years' experience in a front‐office quant/strategist role, preferably in fixed income or FX markets.
• Strong programming skills (Python, C++, or similar) and proven ability to build production‐quality tools. Proficiency in SQL and time‐series analysis is a plus.
• Familiarity with Git, version control, and collaborative coding environments.
• Solid understanding of market data, yield curve construction, and pricing/risk methodologies.
• Familiarity with fixed income products (rates, credit, derivatives).
• Experience collaborating with technology teams to deploy live applications.
• Excellent communication skills to bridge front‐office requirements with technical implementation.
• Ability to discuss PnL attribution with a Trader one minute and explain API requirements to a C# Developer the next.
• Strong problem‐solving ability and comfort working in fast‐paced trading environments.

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