Front Office Software Engineer - Low-Latency AI Finance

The Goldman Sachs Group; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Competitive benefits

Job summary

The Goldman Sachs Group, Inc. is seeking a Front Office Engineer in New York to design and implement robust, low-latency systems for pricing, quoting, and hedging a variety of financial instruments.

You will also build platforms enabling risk and P&L management for trading desks with AI-driven analytics to inform pricing decisions. Minimum 7 years of experience in Java, C/C++, or Python, and a strong analytical mindset are required.

Qualifications

• Advanced degree in Computer Science or equivalent work experience.
• Minimum 7 years of professional experience using Java, C/C++, or Python.
• Strong analytical skills and problem-solving ability.
• Team-oriented with good 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 for risk and P&L management for trading desks using AI-driven analytics.
• Contribute to architecture and engineering decisions in a fast-paced, global environment.

Skills

Java

C/C++

Python

Analytical thinking

Team orientation

Communication

Education

Advanced degree in Computer Science

Job description

The Goldman Sachs Group, Inc. is seeking a Front Office Engineer in New York to design and implement robust, low-latency systems for pricing, quoting, and hedging a variety of financial instruments.

You will also build platforms enabling risk and P&L management for trading desks with AI-driven analytics to inform pricing decisions. Minimum 7 years of experience in Java, C/C++, or Python, and a strong analytical mindset are required.