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Quantitative Developer, Risk Technology

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Point72 Asset Management, L.P
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 150000 GBP Yearly GBP 120000.00 150000.00 YEAR
Job Description & How to Apply Below
A CAREER WITH POINT
72'S TECHNOLOGY TEAM

As Point
72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies.

Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point
72's Technology team, we encourage and support your professional development from day one- helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

WHAT YOU'LL DO
  • Collaborate with Risk quants to design new risk factor models and refine existing ones
  • Develop quantitative risk and performance analytics to proactively anticipate and address stakeholder needs
  • Build a scalable reporting framework capable of processing terabytes of data for complex risk calculations
  • Collaborate with engineers on system design, code quality, and architecture decisions across the team's shared codebase
  • Partner directly with risk, research and other internal teams to translate ambiguous business problems into technical requirements and solutions
WHAT'S REQUIRED
  • Strong understanding of equity factor models and their construction and application
  • Demonstrated track record and hands-on experience in financial instrument modeling, particularly within the equity space
  • 5+ years of programming experience in Python or another language commonly used in quantitative and statistical work (e.g., R, Julia, MATLAB), in a quantitative or research environment
  • Working understanding of layered/medallion-style data architecture (bronze/silver/gold), with enough hands-on pipeline experience to implement components alongside team members
  • Advanced SQL skills, including experience with complex stored procedures, query optimization, and partition management, in large-scale or distributed data environments
  • Problem solving skills with deep understanding of core computer science algorithms and data structures
  • Training in computer science, math, physics or related technical fields
  • Team player with excellent written and verbal communication skills
  • Commitment to the highest ethical standards
WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Private Medical and Dental Insurances
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
  • Mental and physical wellness programmes
  • Tuition assistance
  • Non-contributory pension and more
ABOUT POINT
72

Point
72 is a leading global alternative investment firm led by Steven

A. Cohen with over $58.5 billion in assets under management (as of July 1, 2026). Building on more than 30 years of investing experience, Point
72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit

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