Fund Flow Quantitative Researcher

Point72; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Dormont Manufacturing Co is seeking a Quantitative Researcher to join its Fund Flow Research team in New York. The researcher will develop systematic trading strategies using proprietary datasets and conduct applied research focused on macro and equity markets.

The ideal candidate will possess a strong technical background, a passion for financial markets, and excellent collaboration skills. Responsibilities also include monitoring trading P&L and improving research processes.

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.

Responsibilities

• Create systematic trading strategies for macro and equity markets.
• Conduct rigorous applied research to develop systematic signals.
• Contribute to all aspects of the research and production process.

Skills

Creativity in research

Handling large datasets

Collaborative mindset

Detail-oriented

Education

Undergraduate, Master’s or PhD in a technical field

Tools

Python

AWS

Job description

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