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# Quantitative Developer, Risk Technology

- **Company:** Point72
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Software Quality, Computer Programming, Data Architecture, Distributed Data Store, Python (Programming Language), MATLAB, Query Optimization, SQL Stored Procedures, Sql Optimization, Information Technology
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=70e40e984c0bc0fe

## About the Role

* 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

## Description

* 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