Applied ML Scientist

About the position

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 vetting 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. 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

Requirements

• 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

Nice-to-haves

• 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

Benefits

• Salary range between $190,000 and $250,000, not inclusive of potential bonuses