AI-Driven Front Office Engineer: Low-Latency Trading

Goldman Sachs

Dallas (TX)

On-site

USD 150,000 - 190,000

Full time

5 days ago

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Job summary

Goldman Sachs is seeking a Front Office Engineer to design and implement robust, low-latency software for pricing, quoting, and hedging. You will build platforms that enable risk and P&L management for trading desks and leverage AI-driven analytics for sophisticated data analysis and predictive pricing strategies.

Ideal candidates have an advanced CS degree and 2+ years in Java/C/C++/Python, with strong analytical skills and a self-driven, collaborative mindset to thrive in a fast-paced

Qualifications

Advanced degree in Computer Science (or equivalent work experience).
Minimum 2 years of relevant professional experience using a modern programming language (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.
Energetic, self-directed, and self-motivated.

Responsibilities

Design and implement robust, low-latency systems for pricing, quoting, and hedging.
Develop platforms enabling risk and P&L management for trading desks.
Leverage AI-driven analytics for data analysis and pricing insights.

Skills

Java

C/C++

Python

Analytical skills

Team collaboration

Communication skills

Self-motivated

Education

Advanced degree in Computer Science

Tools

AWS

Terraform

Unix internals

SOA / Microservices

Distributed tracing

Networking basics

Job description

Ideal candidates have an advanced CS degree and 2+ years in Java/C/C++/Python, with strong analytical skills and a self-driven, collaborative mindset to thrive in a fast-paced

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