Senior AI/ML Software Engineer – Quantitative Investment Systems

This role involves working for a global leader in financial services, supporting cutting-edge machine learning systems that transform quantitative investment workflows.

• Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• Minimum of 4 years of experience in software development for quantitative investment workflows.
• Extensive proficiency in programming languages such as Python, C++, or Java.
• Experience in equities, fixed income, or multi-asset strategies is a strong plus.
• Previous involvement in AI/ML research and deployment in financial markets is a strong plus.

• Collaborate effectively with colleagues to advance production machine-learning systems and applications.
• Conceptualize, experiment with, and assess AI/ML-based software solutions.
• Develop, test, and maintain high-quality, production-ready code.
• Demonstrate technical leadership by managing cross-team projects.
• Create libraries and frameworks to underpin reliable, testable systems.
• Represent Goldman Sachs at conferences and within open-source communities.

Only candidates with an existing legal right to work in the European Union will be considered for this role.