ai engineer in quantitative finance

Goldman Sachs is a global investment banking, securities, and investment management firm that connects people and capital with ideas and helps clients, shareholders, and communities grow. Its engineering teams build scalable software and systems, architect low-latency infrastructure, protect against cyber threats, and apply machine learning to financial data.

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

• Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience;
• Minimum 4 years of industry experience;
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies;
• Proficiency in contemporary programming languages such as Python, C plus, or Java.

• Benefits include training and development opportunities, firmwide networks, wellness offerings, personal finance offerings, and mindfulness programs;
• Reasonable accommodations are available for candidates with special needs or disabilities during the recruiting process.