Role at a glance
- Job function
-
Investments & Capital Markets Investment Risk, Compliance & Due Diligence
- Salary
- Not Disclosed
- Location
- United Kingdom England, United Kingdom
- Experience
- 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
- Education
- Training in computer science, math, physics or related technical fields
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Role Summary
The Quantitative Developer, Risk Technology role develops quantitative risk models, analytics, and reporting capabilities in collaboration with Risk quants and other internal teams. The role also works with engineers on the design and quality of the team’s shared codebase.
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 anticipate and address stakeholder needs.
- Build a scalable reporting framework for large-scale data processing and complex risk calculations.
- Collaborate with engineers on system design, code quality, and architecture decisions across the shared codebase.
- Partner with risk, research, and other internal teams to translate ambiguous business problems into technical requirements and solutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong understanding of equity factor models and their construction and application; hands-on experience modeling financial instruments, particularly equities; programming experience in Python or another language commonly used in quantitative and statistical work; working understanding of layered/medallion-style data architecture and hands-on pipeline experience; advanced SQL skills, including complex stored procedures, query optimization, and partition management in large-scale or distributed data environments; deep understanding of core computer science algorithms and data structures; training in computer science, math, physics, or related technical fields; excellent written and verbal communication skills; commitment to high ethical standards.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Point72
Large Enterprise
Point72 is a global asset management firm that invests across various asset classes, primarily focusing on equity and credit markets. Founded by Steven A. Cohen in 2014, the firm leverages advanced data analytics and extensive research to drive investment decisions and deliver superior returns for its clients. With a commitment to collaboration, innovation, and professional development, Point72 cultivates a dynamic work environment where talented individuals can thrive in the fast-paced financial landscape. The company fosters a culture of integrity and accountability, aiming to contribute positively to the communities it serves.