Quantitative AI Strategist

The role

This person will build and evolve an AI-powered research and analytics platform. They will work with trading desks to identify use cases and partner with software engineers to deliver quantitative and AI capabilities.

What you will do

• Prototype and validate quantitative workflows end-to-end.
• Write high-quality platform code and quantitative libraries.
• Enhance the platform ability to reason about markets and interpret financial data.
• Evaluate platform usage and drive improvements for trading and research workflows.
• Engage with stakeholders to discover emerging use cases.
• Identify new use cases and capabilities as AI technology evolves.
• Act as the first line of quantitative support for platform users.

Required qualifications

• Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
• 3–7 years’ experience in a front-office quant, strategist, or quantitative research role.
• Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
• Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
• Experience with signal generation, backtesting, or systematic strategy development.
• Strong programming skills in Python.
• Familiarity with Git and collaborative development workflows.
• Excellent communication skills.
• Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
• Strong ability to quickly learn and adapt to new technologies.

Nice to have

• Familiarity with AI technologies and their application to quantitative workflows
• Experience building AI agents
• Exposure to multiple asset classes

About the company

DRW is a diversified trading firm with over 3 decades of experience. They trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy.