Fund Flow Quantitative Researcher

Point72; Stamford (CT); On-site; USD 150,000 - 200,000; Full time

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

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.