Hedge Funds

Fund Flow Quantitative Researcher

at Point72

GraduateNo visa sponsorshipPython

Posted a month ago

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Compensation: $150,000 – $200,000 USD
City: New York City, Stamford
Country: United States

Point72 is seeking a Quantitative Researcher to join the Fund Flow Research team to develop flow and positioning indicators for PMs, analysts, and traders. The role focuses on creating systematic trading strategies and applied research for macro and equity markets using proprietary datasets. You will contribute across idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and monitor live trading P&L. Strong Python experience working with large AWS-stored datasets and a collaborative, research-driven mindset are required.

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Fund Flow Quantitative Researcher Career

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Fund Flow Quantitative Researcher

Apply Now

Experience

Early Career

Location

New York | Stamford

Focus

Trading Research

Business

Point72

Role:

Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.

Responsibilities:

Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content

Requirements:

Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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Point72

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Role:

Responsibilities:

Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
Monitor, analyze and improve live trading P&L
Collaborate with analysts and strategists to improve PM-facing content

Requirements:

Undergraduate, Master’s or PhD candidates in a technical field
Demonstrated creativity and rigor in the research process
Technically comfortable handling large datasets stored in AWS using Python
Collaborative mindset
Passion for research and financial markets
Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
Commitment to the highest ethical standards

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