Fund Flow Quantitative Researcher

Point72; Greater London; On-site; GBP 111,000 - 148,000; Full time

Job summary

Point72 seeks a Quantitative Researcher for its Fund Flow Research team in London. You will build systematic trading strategies using proprietary flow and positioning data to identify alpha opportunities.

Responsibilities include developing signals for macro and equity markets, testing hypotheses, shaping portfolio construction and P&L attribution, and collaborating with analysts and traders to sharpen PM-facing content.

Qualifications

• Candidates are pursuing a technical degree and demonstrate rigorous research.
• Strong Python programming ability and comfort with large datasets in AWS.
• Demonstrated creativity and ability to manage multiple projects under deadlines.

Responsibilities

• Create systematic trading strategies for macro and equity markets using flow data.
• Develop rigorous signals for macro and equity markets from positioning datasets.
• Contribute to research and production process including idea generation, hypothesis tests, and P&L attribution.
• Monitor, analyze, and improve live trading P&L.
• Collaborate with analysts and strategists to improve PM-facing content.

Skills

Python

Analytical mindset

Collaborative mindset

Education

Undergraduate/Master’s/PhD candidate in a technical field

Tools

AWS

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.