Quantitative Developer
Quantitative developer on Point72's Cubist Risk Technology team, collaborating with risk quants to design equity factor models, build risk and performance analytics, and develop scalable data pipelines that process terabytes of risk data — primarily using Python and advanced SQL in large-scale data environments.
- Compensation
- Not disclosed
- Location
- United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- Strong understanding of equity factor models and their construction/application (e.g., MSCI Barra, Axioma, Bloomberg)
- Hands-on experience in financial instrument modeling, particularly equities
- 5+ years programming experience in Python or R/Julia/MATLAB in a quantitative or research environment
- Working understanding of layered/medallion-style data architecture (bronze/silver/gold) with hands-on pipeline experience
- Advanced SQL skills: complex stored procedures, query optimization, partition management in large-scale/distributed environments
- 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
Full description
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