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Quantitative Developer – Data Strategies Group

Citadel

$150,000 - $200,000
Oct 17, 2025
New York, NY, US
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Citadel's Data Strategies Group (DSG) is looking to solve critical investment problems by applying advanced quantitative methods, AI/ML research, and quantitative modeling to alternative data. The role aims to innovate, enable research, develop custom tools, build data infrastructure, and drive commercial impact through novel approaches.

Requirements

  • Exceptional command of Python; ability to write scalable and maintainable production code.
  • Strong Computer Science fundamentals and software development experience.
  • Familiarity with cloud computing environments (AWS, GCP, or Azure) and modern DevOps practices (CI/CD, containerization, orchestration).

Responsibilities

  • Stay at the frontier of quantitative methods, contributing to the advancement of tools, libraries, and best practices for quantitative development across Citadel.
  • Partner with quantitative researchers to design knowledge graphs, set up efficient infrastructure and research workflow, and optimize production code.
  • Design and build efficient custom tools (“prototypes”) to quickly deliver research insights from alternative data to investment teams, aligned to the needs of those teams.
  • Build and maintain high-performance pipelines for alternative datasets, ensuring quality, timeliness, and reliability.
  • Act as an intellectual entrepreneur and owner by proactively creating novel tools and developing innovative approaches that have the potential to create commercial impact.

Other

  • Degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
  • Strong verbal and written communication skills, with the ability to explain technical results to non-technical stakeholders.
  • Quantitative intuition and creativity with a passion for uncovering insights in complex datasets.
  • Intellectual curiosity and willingness to learn about financial markets, asset classes, investment strategies, and alternative data.
  • Self-starter with strong proactivity, ownership, and willingness to drive commercial impact.
  • Thrives in a fast-paced, collaborative, and results-oriented environment.