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PDT Partners

Quantitative asset management via algorithmic trading

Quantitative Researcher

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$190k - $250k /yr

About the Job

Requirements

  • PhD in Mathematical, Scientific, Engineering, or related disciplines
  • Experience level: entry-level (PhD program) or experienced researchers (postdoctoral fellow, faculty, scientific lab, or finance industry)
  • Experience in programming (Python, R, Matlab, C++)
  • Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
  • Research intuition
  • Experience with or interest in working with large data sets
  • Self-motivated and highly productive with a strong sense of ownership and urgency
  • Able to work collaboratively and productively with others
  • Enjoy solving complex, difficult, real-world problems
  • Entrepreneurial and creative

Responsibilities

  • Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
  • Contribute to the long-term success of our research-driven algorithmic trading business

Desired Qualifications

  • Finance knowledge is not required or expected
  • Experience with large data sets (if considered Desirable rather than Requirements)
  • Strong communication and collaborative whiteboard skills (if not already in Requirements)

About the Company

PDT Partners

Quantitative asset management via algorithmic trading

PDT Partners uses quantitative models to identify market inefficiencies and predict price movements for institutional clients through algorithmic trading. It analyzes large market datasets to find patterns and executes trades with automated strategies that run with precision. Differentiators include a long history since the 1990s, emphasis on empirical validation and scientific research, and a collaborative culture that vets ideas before implementation. The goal is to deliver consistent investment returns by systematically exploiting market inefficiencies through data-driven trading.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1993

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