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greenhouse

Quantitative Developer

Point72
GBR
Senior · 30+ years experience
Onsite
Discovered 1 weeks ago

Full Job Posting

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.

Responsibilities

  • 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
  • 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

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