Front‑Office Quant AI Strategist: Analytics Platform

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

Benefits offered by this job

Group medical insurance

Pharmacy insurance

Dental and vision insurance

401k with discretionary employer match

Short and long-term disability

Life and AD&D insurance

Health savings accounts

Flexible spending accounts

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 evolve DRW's AI-powered research platform.

You will work with trading desks to define workflows, and partner with engineers to deliver production-grade solutions across multiple asset classes. Ideal candidates have a strong finance/math background, 3–7 years in a quant/strategist role, and proficiency in Python with AI experience.

Qualifications

• Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or related technical field.
• 3-7 years' experience in front-office quant, strategist, or quantitative research role across 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 workflows.
• Familiarity with AI technologies and their application to quantitative workflows is a strong plus.

Responsibilities

• Prototype and validate quantitative workflows end-to-end, from data retrieval to risk/scenario analysis, and define AI interactions.
• Write high-quality platform code and quantitative libraries with clear interfaces for AI use.
• Enhance the platform's ability to reason about markets and produce reliable, context-aware analyses.
• Continuously evaluate platform usage and drive improvements delivering measurable value.
• Engage with trading desks, risk management, researchers, and others to identify new use cases.
• Proactively identify new AI capabilities as technology evolves.

Skills

Python

AI technologies

Git

Communication

Quantitative finance

Education

Quantitative finance / Applied mathematics

Tools

Git

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 evolve DRW's AI-powered research platform.

You will work with trading desks to define workflows, and partner with engineers to deliver production-grade solutions across multiple asset classes. Ideal candidates have a strong finance/math background, 3–7 years in a quant/strategist role, and proficiency in Python with AI experience.