Quantitative Developer, Systematic Rates Trading – NYC

Goldman Sachs Bank AG; New York (NY); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health benefits

On-site health centers

Job summary

Goldman Sachs in New York, NY is seeking a Quantitative Developer to design and implement high-performance trading strategies and real-time pricing engines for global markets. You will work with traders, researchers, and engineers to build scalable, low-latency infrastructure and adapt models to evolving market conditions.

The role emphasizes ownership, independence, and collaboration in a fast-paced trading floor environment, with opportunities to apply ML, risk controls, and optimization

Qualifications

• Advanced degree in Computer Science or Financial Technology.
• 5+ years of relevant work experience.
• Advanced proficiency in C++.
• Experience designing and implementing algorithms for US trading.
• Experience in data-driven trading strategy performance analysis and optimizations.
• Strong communication skills and the ability to work as part of a team.

Responsibilities

• Design, build, and maintain high-performance trading strategies for internal and external clients.
• Monitor trading performance daily and customize algorithms per client needs.
• Understand market structure, regulations, exchanges, and implement changes accordingly.
• Communicate feature requests and explanations with traders, sales, clients, and compliance.

Skills

C++ proficiency

Quantitative thinking

Team communication

Data-driven analysis

US trading experience

Education

Advanced degree in CS or Financial Tech

Job description

Goldman Sachs in New York, NY is seeking a Quantitative Developer to design and implement high-performance trading strategies and real-time pricing engines for global markets. You will work with traders, researchers, and engineers to build scalable, low-latency infrastructure and adapt models to evolving market conditions.

The role emphasizes ownership, independence, and collaboration in a fast-paced trading floor environment, with opportunities to apply ML, risk controls, and optimization