Real-Time Quantitative Systems Engineer

Goldman Sachs Bank AG; New York (NY); On-site; USD 150,000 - 225,000; Full time

Job summary

Goldman Sachs in New York is seeking a Developer/Engineer-heavy Strat for the ETF One Delta Strat within the ETF Trading Desk in NYC. You will contribute through sophisticated code development and systems optimization to support real-time pricing, risk management, and hedging strategies for US ETF desks.

The role emphasizes ownership of the operational engineering stack, with focus on high-performance Java/Python systems, JSI integration, and scalable, robust infrastructure in a market-facing

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
• Expert-level proficiency in Java and Python.
• Experience with JSI or cross-language integration.
• Understanding CI/CD, Git, and performance profiling.
• Strong debugging skills in distributed systems under time pressure.

Responsibilities

• Operational Engineering: identify bottlenecks and build automated solutions to improve desk efficiency and reliability.
• Real-time Support: provide expert troubleshooting for production trading systems with 24/7 availability.
• System Architecture & Optimization: design and maintain high-performance tech and data stack.
• Algorithmic Implementation: translate pricing models into production-grade code for pricing and risk.
• JSI Integration: develop and optimize the Java-based trading stack with Slang integration.

Skills

Java

Python

JSI integration

CI/CD

Debugging

Systems design

Education

Bachelor’s or Master’s degree in Computer Science / Computer Engineering

Tools

Slang

Git

Job description

Goldman Sachs in New York is seeking a Developer/Engineer-heavy Strat for the ETF One Delta Strat within the ETF Trading Desk in NYC. You will contribute through sophisticated code development and systems optimization to support real-time pricing, risk management, and hedging strategies for US ETF desks.

The role emphasizes ownership of the operational engineering stack, with focus on high-performance Java/Python systems, JSI integration, and scalable, robust infrastructure in a market-facing