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.

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities?  Start here.

Within our Global Banking & Markets business, Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are a team of strong analytical thinkers with a passion for producing out-of-the-box ideas.

Within IB, our engineers are responsible for building next generation digital solutions and automation for banking that consists of a set of well-integrated platforms and allows us to serve our bankers and clients better.

Who We Look For
We are seeking an AI/ML engineer to join our IB Engineering team. As an AI/ML engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency 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. As an AI/ML engineer, you will tackle the unique challenges associated with embedding intelligence in the analytics domain. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!

 

How You Will Fulfill Your Potential

• Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
• Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
• Collaborate proactively with stakeholders across the equities business  to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes.
• Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications

• Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• 1-3 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.