5+ years of applied machine learning research experience
PhD preferred; Master's or Bachelor's with equivalent industry experience considered
Strong programming skills in Python, R, Matlab, or C++
Solid mathematical and analytical abilities; exceptional problem-solving skills
Excellent communication and collaboration abilities
Detail-oriented and self-motivated with a strong sense of urgency
Strong publication record in relevant research areas
Responsibilities
Collaborate on various trading strategies and research projects with senior researchers
Conduct independent research and propose new research topics over time
Enhance research methodologies to improve trading strategies
Analyze and iterate statistical methods applied to trading strategies
Contribute to the long-term success of research-driven algorithmic trading efforts
Benefits
Hybrid work model requiring in-office presence in New York City for 3 days per week
Opportunity to collaborate with experienced researchers and technologists
Commitment to professional development and support for career growth
Full 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 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.
This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
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
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. 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.
About PDT Partners
PDT Partners is a quantitative investment firm that uses advanced mathematical models and algorithms to identify and exploit market inefficiencies. The company was founded in 1993 by Peter Muller, a former head of Morgan Stanley's quantitative trading group. PDT Partners has a strong track record of generating alpha for its investors, and has consistently outperformed its benchmarks over the long term. The company's investment strategies are based on a deep understanding of market dynamics and a rigorous approach to risk management.
