Quantitative Risk Tech Developer — AI-Driven Models

Point72; England; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Private Medical Insurance

Dental Insurance

Parental leave

Volunteer opportunities

Affinity groups

Wellness programme

Tuition assistance

Non-contributory pension

Job summary

Point72’s Technology team is expanding its risk analytics and data infrastructure. You will collaborate with risk quants to design new risk factor models, develop quantitative analytics, and build a scalable reporting framework capable of processing terabytes of data.

You’ll work with engineers on system design, translate business problems into technical requirements, and contribute to a cutting-edge AI and cloud architecture roadmap.

Qualifications

• Strong understanding of equity factor models and their construction/application.
• 5+ years of programming in Python or similar language in a quantitative/research environment.
• Hands-on experience with financial instrument modeling in equity space.
• Experience with layered data architectures and data pipelines.

Responsibilities

• Collaborate with Risk quants to design new risk factor models and refine existing ones.
• Develop quantitative risk and performance analytics to anticipate 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 codebase.
• Translate ambiguous business problems into technical requirements and solutions with risk/research teams.

Skills

Equity factor models

Quantitative risk modeling

Python

SQL

Data architecture

Algorithms & data structures

Team communication

Computer science background

Education

Bachelor's or Master’s in CS/Math/Physics

Tools

Python

SQL

Job description

Point72’s Technology team is expanding its risk analytics and data infrastructure. You will collaborate with risk quants to design new risk factor models, develop quantitative analytics, and build a scalable reporting framework capable of processing terabytes of data.

You’ll work with engineers on system design, translate business problems into technical requirements, and contribute to a cutting-edge AI and cloud architecture roadmap.