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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.
Job Responsibility:
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