Fund Flow Quantitative Researcher: Macro & Equity Signals

Point72

Stamford (CT)

On-site

USD 150,000 - 200,000

Full time

8 days ago
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Job summary

Point72 is seeking a Quantitative Researcher to join its Fund Flow Research team. The role focuses on developing systematic signals using flow and positioning datasets to help PMs and traders evaluate risk and identify alpha opportunities.

The responsibilities include creating macro and equity trading strategies, hypothesis testing, portfolio construction, and monitoring live P&L, with collaboration across analysts and strategists to improve PM-facing content.

Qualifications

  • 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 and passion for research and financial markets.
  • Intellectual curiosity and attention to detail with ability to manage multiple projects in a fast-paced environment.
  • Commitment to the highest ethical standards.

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, focused on investor flows and positioning.
  • Contribute to all aspects of the research and production process, including 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.

Skills

Creativity
Collaborative mindset
Attention to detail
Multitasking
Ethical standards

Education

Undergraduate/Master/PhD candidate in technical field

Tools

Python
AWS
Large datasets

Job description

Point72 is seeking a Quantitative Researcher to join its Fund Flow Research team. The role focuses on developing systematic signals using flow and positioning datasets to help PMs and traders evaluate risk and identify alpha opportunities.

The responsibilities include creating macro and equity trading strategies, hypothesis testing, portfolio construction, and monitoring live P&L, with collaboration across analysts and strategists to improve PM-facing content.

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