AI​/ML Engineer, Global Banking & Markets, Front Office Technology

AI/ML Engineer – Investment Banking

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 that enhance revenue generation, capital savings, operational efficiency, and innovation within the firm.

• Design, implement, and deploy scalable AI models and 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 that drive tangible commercial outcomes.
• Champion the development, testing, and maintenance of reliable, production-ready software solutions.

• Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• 1-3 years of AI/ML industry experience demonstrating expertise.
• Proficiency in contemporary programming languages such as Python and/or Java.
• Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
• Demonstrated curiosity, ownership, and willingness to work in a collaborative environment.

We are committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.