Applied AI

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Who We Look For

Goldman Sachs is seeking an AI Quant Engineer to join our Applied AI Team. As an AI Quant engineer, you will leverage your expertise in quantitative trading, statistics, and machine learning to develop and implement AI-driven quantitative technologies that enhance revenue generation and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as time series forecasting, market making, and pricing. As an AI Quant engineer, you will tackle the unique challenges associated with machine learning systems in the quant trading domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence! Responsibilities

· Design, train, and deploy scalable AI models to drive commercial outcomes.

· Conduct experimentation and analysis to enhance model performance.

· Collaborate effectively with colleagues to advance the production of machine-learning systems and applications.

· Develop, test, and maintain high-quality, production-ready code.

Required Qualifications

· A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.

· A minimum of 2-5 years of AI/ML experience in the industry that demonstrates your expertise.

· Proficiency in contemporary programming languages like Python and/or Java.

· Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.

· Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html