Quantitative AI Strategist

Responsibilities

• Prototype and validate quantitative workflows end-to-end, including data retrieval, signal construction, and strategy evaluation
• Write high-quality platform code and quantitative libraries designed for both human and AI interaction
• Enhance the platform’s ability to reason about markets and interpret financial data
• Identify high-value use cases by working directly with trading desks and stakeholders
• Act as the first line of quantitative support for platform users to diagnose issues and drive improvements
• Proactively identify new capabilities as AI technology evolves

Requirements

• Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, or computer science
• 3–7 years of 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
• Experience with signal generation, backtesting, or systematic strategy development
• Strong programming skills in Python and familiarity with Git
• Excellent communication skills to translate desk needs into quantitative specifications

Preferred Qualifications

• Familiarity with AI technologies and their application to quantitative workflows
• Experience building AI agents

About the Company

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 trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.