Fund Flow Quantitative Researcher: Macro & Equity Signals

Point72

England

On-site

GBP 112,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Discretionary bonus

Job summary

Point72 is seeking a Quantitative Researcher to join its Fund Flow Research team. You will develop systematic signals for macro and equity markets using proprietary flow datasets, while evaluating investor flows and positioning.

The role requires advanced research discipline and a collaborative approach in a fast-paced environment. The ideal candidate is pursuing an undergraduate, masters, or PhD in a technical field with strong Python skills and experience handling large datasets on AWS, ready

Qualifications

  • Undergraduate, Master’s or PhD candidate in a technical field.
  • Strong creativity and rigor in the research process.
  • Technically comfortable handling large datasets stored in AWS using Python.
  • Collaborative mindset and ability to manage multiple projects and deadlines.

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, focusing 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, analyse and improve live trading P&L.
  • Collaborate with analysts and strategists to improve PM-facing content.

Skills

Python
Research
AWS
Data analysis

Education

Technical field (Undergrad/Master’s/PhD candidate)

Job description

Point72 is seeking a Quantitative Researcher to join its Fund Flow Research team. You will develop systematic signals for macro and equity markets using proprietary flow datasets, while evaluating investor flows and positioning.

The role requires advanced research discipline and a collaborative approach in a fast-paced environment. The ideal candidate is pursuing an undergraduate, masters, or PhD in a technical field with strong Python skills and experience handling large datasets on AWS, ready

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