Applied ML Scientist

PDT Partners; New York (NY); On-site; USD 190,000 - 250,000; Full time

Job summary

A quantitative investment manager is hiring for an applied machine learning scientist role in New York. This hybrid position requires developing and improving statistical methods to enhance trading strategies, collaborating with senior researchers. Ideal candidates possess strong mathematical, programming, and analytical skills, with a PhD preferred. The salary range is $190,000 to $250,000, depending on experience and education. Join a diverse and dynamic team focused on solving complex real-world problems.

Qualifications

• 2+ years of applied machine learning research experience required.
• PhD preferred; undergraduate or masters with industry experience acceptable.
• Strong publication record and experience with Python scientific stack.

Responsibilities

• Work closely with senior researchers on trading strategies.
• Conduct independent research and originate topics over time.
• Contribute to algorithmic trading business success.

Skills

Solid mathematical and analytical ability

Exceptional problem-solving and modeling ability

Experience in programming (Python, R, Matlab, C++)

Excellent communication and collaborative skills

Meticulous and detail-oriented

Experience with large data sets

Self-motivated and highly productive

Strong sense of ownership and urgency

Enjoy solving complex problems

Entrepreneurial and creative mindset

PhD preferred

Undergraduate or Master's degree with industry experience

2+ years of applied machine learning research experience

Strong publication record

Experience with the Python scientific stack

Education

PhD

Undergraduate or Masters degree

Tools

Python

R

Matlab

C++

Job description

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods and vet them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists.

PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential.

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.

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
• PhD preferred
• Undergraduate or Masters degree with equivalent industry experience in machine learning
  • 2+ years of applied machine learning research experience
• Strong publication record
• Experience with the Python scientific stack

The salary range for this role is between $190,000 and $250,000. 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.

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