Fund Flow Research Strategist for PM Insights & Models

Point72; England; On-site; GBP 112,000 - 150,000; Full time

Job summary

Point72 is seeking a Fund Flow Strategist to join its Fund Flow Research team. The role focuses on delivering content to discretionary portfolio managers and refining current products while supporting daily data production and internal communications.

You will collaborate with PMs and analysts to identify needs and build new features. The ideal candidate has a technical degree, strong Python/SQL skills, and experience with time series data, markets, and research.

Qualifications

• Undergraduate degree or higher in a technical field.
• Passion for research, markets, and problem solving.
• Strong written and verbal communication skills.
• Strategy, data science, or quant research experience at a financial institution.
• Experience working with time series and point in time data.
• Strong programming skills in Python and SQL.
• Intellectual curiosity, attention to detail, and ability to manage multiple projects in a fast-paced environment.
• Commitment to the highest ethical standards.

Responsibilities

• Create content targeted at discretionary portfolio managers.
• Refine and advance current product offerings.
• Assist in daily workflow contributing to internal communications and data production.
• Contribute to research efforts formalizing and building new models.
• Work with PMs and analysts to answer questions and identify needs and additional features.

Skills

Python

SQL

Time series

Data science

Research

Communication

Project management

Education

Undergraduate degree or higher in a technical field

Job description

Point72 is seeking a Fund Flow Strategist to join its Fund Flow Research team. The role focuses on delivering content to discretionary portfolio managers and refining current products while supporting daily data production and internal communications.

You will collaborate with PMs and analysts to identify needs and build new features. The ideal candidate has a technical degree, strong Python/SQL skills, and experience with time series data, markets, and research.