Senior Python Architect – Cloud-Scale Quant Pricing

Citi; Jersey City (NJ); On-site; USD 142,000 - 213,000; Full time

Job summary

Citi in Jersey City, New Jersey, seeks a Senior Python Architect/Developer to lead the design and deployment of a massive-scale compute grid on public clouds. You will translate sophisticated pricing models into scalable production systems and collaborate with quants, traders, and risk teams to ensure fast, reliable valuation across thousands of scenarios.

The role requires 10+ years in high-performance compute, deep Python expertise, and strong Kubernetes and Docker skills, with a background in

Qualifications

• 10+ years of professional experience designing and running large-scale compute grids.
• Expert cloud experience with AWS or GCP including batch, container, and serverless services.
• Strong programming skills in Python for high-performance computing environments.
• Deep knowledge of Docker/Kubernetes and distributed systems.
• Bachelor's degree in CS, Engineering, or a related technical field.
• Experience in financial services with Monte Carlo simulations or VaR pricing is a plus.

Responsibilities

• Lead design and deployment of a massive-scale distributed compute grid on public clouds (AWS, GCP).
• Architect, build, and manage a scalable pricing engine for multi-scenario risk valuation.
• Collaborate with quantitative teams to integrate pricing models into production grids.

Skills

Python

AWS/GCP

Docker/Kubernetes

Distributed systems

High-performance computing

Financial industry experience

Bachelor's degree

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

GCP

Docker

Kubernetes

Job description

Citi in Jersey City, New Jersey, seeks a Senior Python Architect/Developer to lead the design and deployment of a massive-scale compute grid on public clouds. You will translate sophisticated pricing models into scalable production systems and collaborate with quants, traders, and risk teams to ensure fast, reliable valuation across thousands of scenarios.

The role requires 10+ years in high-performance compute, deep Python expertise, and strong Kubernetes and Docker skills, with a background in