Real-Time FinTech Full-Stack Engineer (Python & Angular)

QUANTEAM - North America (RAINBOW PARTNERS Group); New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

QUANTEAM - North America (RAINBOW PARTNERS Group) is seeking an experienced Full Stack Developer (Python/Angular) to join the Front Office IT team of a leading global investment bank. You will build real-time analytics tools used by traders, risk managers, and structurers to price, hedge, and monitor risk across listed and OTC products.

You will develop Python micro-services and Angular front-ends, support end-of-day hedging workflows, and contribute to AI-enabled analytics.

Qualifications

• 5+ years building production-grade Python back-end services and Angular front-ends in a trading environment.
• Master's or equivalent in CS/Engineering.
• Solid understanding of equity derivatives concepts and market-data flows.
• Proven ability to troubleshoot critical incidents quickly during market hours.
• Expert-level Python OO design, multi-threaded/async programming; Linux knowledge.
• PostgreSQL and SQL experience; cloud familiarity a plus.

Responsibilities

• Build and maintain Python micro-services and Angular front-ends powering real-time market-data ingestion, pricing and booking.
• Support automated end-of-day hedging workflows, intraday risk monitoring, and interactive P&L attribution tools.
• Contribute to quantitative research and simulations through analytics within a shared web portal.
• Develop and operate back-end Python services for batch reporting and alerting; steward CI/CD pipelines.
• Migrate applications to the firm's rapid-development platform and ensure auditable pipelines.

Skills

Python

Angular

CI/CD

Distributed systems

Linux

PostgreSQL

Machine-learning basics

Education

Master's degree in Computer Science or Engineering

Tools

Jenkins

Docker

Kubernetes

Job description

QUANTEAM - North America (RAINBOW PARTNERS Group) is seeking an experienced Full Stack Developer (Python/Angular) to join the Front Office IT team of a leading global investment bank. You will build real-time analytics tools used by traders, risk managers, and structurers to price, hedge, and monitor risk across listed and OTC products.

You will develop Python micro-services and Angular front-ends, support end-of-day hedging workflows, and contribute to AI-enabled analytics.