Quantitative AI Strategist
DRW, New York, NY, United States
Overview
DRW is a diversified trading firm with over three decades of experience in technology-driven trading. We operate with our own capital and risk, value autonomy, and pivot quickly to capture opportunities. Headquartered in Chicago with offices across the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy, and have expanded into real estate, venture capital, and cryptoassets. We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform unifies analytics, data, and research to help traders, researchers, analysts, and risk managers move from questions to actionable insight. You will work directly with trading desks to understand workflows, build AI-enabled capabilities, and partner with software engineers to deliver production-quality solutions. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. Qualifications and Experience
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, ideally with exposure to multiple asset classes. 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. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. 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, particularly in AI. Key Responsibilities
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify strengths and weaknesses, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Compensation and Benefits
The annual base salary range for this position is $175k to $250k depending on experience, qualifications, and relevant skill set. The position is eligible for an annual discretionary bonus. DRW offers a comprehensive suite of benefits including group medical, pharmacy, dental and vision insurance, 401k with discretionary employer match, disability and life insurance, health savings accounts, and flexible spending accounts. Privacy and Equal Opportunity
For more information about DRW's processing activities and our use of job applicants’ data, please view our Privacy Notice. We are an equal opportunity employer and do not discriminate on the basis of any protected status. Voluntary self-identification is requested for government reporting purposes and is confidential. Providing this information is voluntary and will not affect hiring decisions.
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DRW is a diversified trading firm with over three decades of experience in technology-driven trading. We operate with our own capital and risk, value autonomy, and pivot quickly to capture opportunities. Headquartered in Chicago with offices across the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy, and have expanded into real estate, venture capital, and cryptoassets. We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform unifies analytics, data, and research to help traders, researchers, analysts, and risk managers move from questions to actionable insight. You will work directly with trading desks to understand workflows, build AI-enabled capabilities, and partner with software engineers to deliver production-quality solutions. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. Qualifications and Experience
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, ideally with exposure to multiple asset classes. 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. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. 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, particularly in AI. Key Responsibilities
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify strengths and weaknesses, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Compensation and Benefits
The annual base salary range for this position is $175k to $250k depending on experience, qualifications, and relevant skill set. The position is eligible for an annual discretionary bonus. DRW offers a comprehensive suite of benefits including group medical, pharmacy, dental and vision insurance, 401k with discretionary employer match, disability and life insurance, health savings accounts, and flexible spending accounts. Privacy and Equal Opportunity
For more information about DRW's processing activities and our use of job applicants’ data, please view our Privacy Notice. We are an equal opportunity employer and do not discriminate on the basis of any protected status. Voluntary self-identification is requested for government reporting purposes and is confidential. Providing this information is voluntary and will not affect hiring decisions.
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