Aimed at experienced quantitative professionals who can bridge risk modeling and system architecture, with a focus on equity markets and collaborative problem-solving in the UK.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Point72 via Greenhouse
Quantitative Developer, Risk Technology
A CAREER WITH POINT72’s TECHNOLOGY TEAM
As Point72 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 Point72’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 (e.g., MSCI Barra, Axioma, Bloomberg)
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 POINT72
Point72 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, Point72 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 www.Point72.com.
Source: Point72 careers (Greenhouse)