Front Office Software Engineer: Low-Latency Trading & AI

Goldman Sachs; New York (NY); On-site; USD 115,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a Software Engineer for Global Banking & Markets Front Office Technology in New York. The role focuses on designing and implementing low-latency systems for pricing, quoting, and hedging various instruments, while building platforms for risk and P&L management and leveraging AI for analytical insights and predictive pricing strategies.

You will work in a fast-paced, globally distributed environment, collaborating with cross-functional teams to deliver scalable software

Qualifications

• Advanced degree in Computer Science or equivalent work experience.
• Minimum 2 years of professional experience using Java, C/C++, or Python.
• Strong analytical skills and ability to identify scope and impact quickly.
• Team oriented mindset with strong interpersonal and communication skills.
• Energetic, self-directed, and self-motivated.

Responsibilities

• Design and implement robust, low-latency systems for pricing, quoting, and hedging a range of financial instruments.
• Develop platforms enabling risk and P&L management for trading desks.
• Leverage AI-driven analytics for data analysis and predictive pricing strategies.

Skills

Java

C/C++

Python

Analytical thinking

Teamwork

Self-motivation

Education

Advanced degree in Computer Science

Tools

AWS

Terraform

Unix

Job description

Goldman Sachs is seeking a Software Engineer for Global Banking & Markets Front Office Technology in New York. The role focuses on designing and implementing low-latency systems for pricing, quoting, and hedging various instruments, while building platforms for risk and P&L management and leveraging AI for analytical insights and predictive pricing strategies.

You will work in a fast-paced, globally distributed environment, collaborating with cross-functional teams to deliver scalable software