Front-Office Quant AI Platform Strategist

P2P; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

DRW is seeking a Quantitative AI Strategist to join its quantitative analytics team. This front-office role blends quantitative finance, AI, and product development to build the firm’s AI-powered research and analytics platform used by traders, researchers, analysts, and risk managers.

You will work directly with trading desks to define workflows, balance AI autonomy with domain tooling, and collaborate with software engineers to deliver production-quality capabilities across asset classes.

Qualifications

• Background in quantitative finance or 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.
• 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 their 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.

Responsibilities

• Prototype and validate quantitative workflows end-to-end, from data retrieval to risk analysis.
• Write high-quality platform code and quantitative libraries with clear AI interfaces.
• Enhance the platform’s ability to reason about markets and financial data.
• Continuously evaluate platform use and drive measurable improvements.
• Engage with trading desks, risk management, researchers to identify use cases.
• Proactively identify new AI capabilities as technology evolves.
• Act as first line of quantitative support for platform users.

Skills

Python

Git

Front-office quant

AI technologies

AI agents

Backtesting

Signal generation

Job description

DRW is seeking a Quantitative AI Strategist to join its quantitative analytics team. This front-office role blends quantitative finance, AI, and product development to build the firm’s AI-powered research and analytics platform used by traders, researchers, analysts, and risk managers.

You will work directly with trading desks to define workflows, balance AI autonomy with domain tooling, and collaborate with software engineers to deliver production-quality capabilities across asset classes.