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Home / Quantitative Researcher

Quantitative Researcher

PDT Partners

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab)

Education: PhD in Math, Science, Engineering and other relevant disciplines

The PDT team – a quantitative investment manager – is hiring new or recent PhD graduates and experienced researchers (postdoctoral fellows, faculty, scientific lab, finance industry) to create and improve proprietary trading models and strategies while working closely with a deep bench of senior researchers.
 
We have a successful record of hiring, challenging, and retaining talented researchers from diverse academic backgrounds. Individuals interested in conducting innovative research with real-world impact seem to enjoy and excel at the types of problems we like to solve.
 
PDT Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually challenging environment that encourages collaboration and innovative ideas.  
 
In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members work on the most critical and interesting problems, with a focus on research rigor and standards.
 
This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. 

Why join us? 

PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. 

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
 
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.
  • Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
  • Research intuition
  • Experience in programming (Python, R, Matlab, C++)
  • Excellent communication and collaborative white board skills
  • Meticulous and detail-oriented, and innately driven to understand issues deeply
  • Experience with/interested 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  
  • Finance knowledge is not required or expected

The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.

To apply for this job please visit job-boards.greenhouse.io.

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Working in New York, NY

New York, often called New York City (NYC), is the most populous city in the United States. It is located at the southern tip of New York State on New York Harbor, one of the world's largest natural harbors. The city comprises five boroughs—Manhattan, Brooklyn, Queens, the Bronx, and Staten Island; each is coextensive with its respective county. It is the geographical and demographic center of both the Northeast megalopolis and the New York metropolitan area, the largest metropolitan area in the United States by both population and urban area. New York is a global center of finance and commerc

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