Front Office Low-Latency Engineer | AI-Driven Finance

The Goldman Sachs Group; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs in Dallas seeks a Front Office Engineer to design and implement cutting-edge, low-latency software for pricing, quoting, and hedging a wide range of instruments. You will help build scalable platforms that enable risk and P&L management for trading desks and push performance to market speed.

The role emphasizes collaboration, deep technical skills in Java/C++/Python, and experience with AWS, UNIX systems, and microservice architectures.

Qualifications

• Advanced degree in Computer Science (or equivalent work experience).
• Minimum 7 years of professional experience using Java, C/C++, Python.
• Strong analytical skills, ability to quickly identify scope and impact of issues.
• Team oriented mindset with strong interpersonal and communication skills.

Responsibilities

• Design and implement robust, low-latency systems for pricing, quoting, and hedging.
• Develop AI-driven analytics for data analysis and pricing strategies.
• Contribute to high availability, mission-critical systems in a distributed trading environment.

Skills

Java

C/C++

Python

Analytical skills

Team collaboration

Education

Advanced degree in Computer Science or equivalent

Tools

AWS

Terraform

UNIX

Microservices

Job description

Goldman Sachs in Dallas seeks a Front Office Engineer to design and implement cutting-edge, low-latency software for pricing, quoting, and hedging a wide range of instruments. You will help build scalable platforms that enable risk and P&L management for trading desks and push performance to market speed.

The role emphasizes collaboration, deep technical skills in Java/C++/Python, and experience with AWS, UNIX systems, and microservice architectures.