Point72 Quantitative Researcher Intern role at Point72 Internal Alpha Capture team. Interns conduct research on quantitative equity trading signals using machine learning and large data sets.
Responsibilities
Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
Analyzing very large data sets to extract features useful for predictive models.
Providing research assistance to the team.
Helping improve the team’s research infrastructure.
DESIRABLE CANDIDATES
Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines.
Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets.
Strong analytical and quantitative skills, and detail-oriented mindset.
Proficient in Python or C++, and Linux environment.
Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
Willing to take ownership of his/her work, working both independently and within a collaborative team.
Qualification
Proficient in Python or C++
Required
Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines
Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets
Strong analytical and quantitative skills
Proficient in Python or C++, and Linux environment
Excellent written and verbal communication skills
Willing to take ownership of work independently and collaboratively
