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DRW

Global diversified trading and investment firm

Quantitative AI Strategist

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • 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 and 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 to engage directly with trading desks, understand their needs, formalize them into quantitative specifications, and collaborate 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 given the rapid pace of development in AI.

Responsibilities

  • Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
  • Determine the right balance between AI autonomy and structured tooling, deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call, and build accordingly.
  • Work with front-office stakeholders to turn desk needs into well-defined quantitative problems and workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
  • Prototype and validate quantitative workflows end-to-end, from data retrieval and signal construction through strategy evaluation, PnL simulation, testing, and risk and scenario analysis; define how the AI should interact with data sources, analytics libraries, and desk-specific tools; and work with engineers to deliver 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 platform usage, identify where it excels and falls short, and drive improvements that deliver measurable value to trading and research workflows.
  • Engage with stakeholders across the firm, including trading desks, risk management, researchers, and new joiners, 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 by diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.

Desired Qualifications

  • Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
  • Experience building AI agents is a strong plus.

About the Company

DRW

Global diversified trading and investment firm

DRW identifies and captures trading and investment opportunities worldwide. It trades across many asset classes and instruments in markets around the globe, with time horizons ranging from seconds to years. The company relies on technology, in-depth research, and risk management to execute its strategies. DRW blends the energy and flexibility of a startup with the stability of an established firm, emphasizing continuous learning, collaboration, and high standards. Its goal is to find and exploit a broad range of opportunities to create value for the firm and its clients, while rewarding employees for their results.

Company size
1,001-5,000
Company stage
M&A
Total funding
$2.5B
Headquarters
Chicago, IL
Founded
2001

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