Quantitative Developer

As a Quantitative Developer in Point72's Technology team, you collaborate with risk quants to design risk models and analytics, build scalable data pipelines, and translate business problems into technical solutions. You work across risk, research, and engineering to refine models and deliver insights for large-scale risk calculations. The role blends advanced modeling with data architecture and software design in a fast-paced, AI- and cloud-enabled environment. This is a chance to shape risk platform capabilities at a leading global investment firm.

• 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

• Collaborate with risk quants to design new risk factor models and refine existing ones
• Develop quantitative risk and performance analytics to proactively 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

• 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)
• Working understanding of layered/medallion-style data architecture (bronze/silver/gold) with hands-on pipeline experience
• Advanced SQL skills, including 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

• team player
• excellent written and verbal communication
• problem solving
• Python
• R
• Julia