Applied AI Research -Global Banking & Markets - Associate -Software Engineering

Requirements

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• A minimum of 4 years of experience in the industry that demonstrates your expertise.
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
• Proficiency in contemporary programming languages like Python, C++, or Java.

What You'll Be Doing

1. Collaborating effectively with colleagues to advance production machine-learning systems and applications.
2. Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
3. Developing, testing, and maintaining high-quality, production-ready code.
4. Demonstrating technical leadership by taking charge of cross-team projects.
5. Creating libraries and frameworks that underpin reliable and testable systems.
6. Represent Goldman Sachs at conferences and within open-source communities.

Nice to Haves

• No specific nice to haves mentioned.

Perks and Benefits

• Goldman Sachs commits people, capital, and ideas to help clients, shareholders, and communities grow.
• Dedicated to fostering and advancing diversity and inclusion in the workplace.
• Training, development opportunities, firmwide networks, benefits, wellness, and personal finance offerings.
• Reasonable accommodations for candidates with special needs or disabilities during the recruiting process.