Risk Analytics Engineer (Cloud)

Location: New Jersey, United States — onsite hybrid. The conditions also mention New York.

Base compensation: $103,330–$128,656 per year, plus possible variable compensation.

Company

Capgemini is a global business and technology transformation partner delivering cloud, data, AI, and engineering services to organizations in more than 50 countries.

What you will do

• Architect, build, and manage a massive-scale distributed compute grid on AWS or GCP for financial pricing models.
• Design the orchestration layer that distributes millions of pricing tasks across hundreds of thousands of CPU and GPU cores.
• Deploy, manage, and version quantitative pricing models in a distributed production environment.
• Monitor and optimize cloud-grid performance, costs, and resource utilization.
• Integrate new pricing models with quantitative development teams and provide market data, trade data, and model configurations at runtime.
• Engineer high availability, resilience, and recovery capabilities for the pricing engine.

Requirements

• 10+ years of professional experience designing, building, and operating applications on massive-scale compute grids.
• Expert hands-on experience with AWS or GCP, including batch processing, containers, and serverless services.
• Deep expertise in Docker and Kubernetes.
• Strong programming skills in C++ and Python, with a background in distributed systems, performance tuning, and infrastructure as code.
• Degree in Computer Science, Engineering, or a related technical field.
• Strong problem-solving and communication skills, including collaboration with quantitative research, trading, and risk management teams.

Nice to have

• Financial-industry experience with Monte Carlo simulations, VaR calculations, or XVA pricing grids.

Culture & Benefits

• Comprehensive benefits package for regular, full-time employees.
• Paid vacation, company holidays, personal days, and sick leave.
• Medical, dental, and vision coverage.
• Retirement savings plans, including 401(k) in the United States.
• Life and disability insurance and employee assistance programs.
• Inclusive workplace with reasonable accommodation available during recruitment.

Hiring process

• Interviews may be recorded through video or screenshots for verification during hiring and onboarding.