What are the responsibilities and job description for the Applied AI & ML Data Scientist – Global Investment Bank Digital (GIBD) position at JPMorgan Chase?
Join the Global Investment Bank Digital (GIBD), the AI-driven digital innovation hub covering ECM, DCM, and M&A. Our mission is to redefine investment banking through cutting-edge AI and data-driven innovation.
As a Applied AI/ML Data Scientist you will join a dynamic, collaborative environment that combines the innovation of digital transformation with the power of a leading global investment bank. We are breaking down traditional barriers, working with exceptional talent to push the boundaries of what's possible in finance. Our cross-disciplinary team brings together AI experts, data scientists, data engineers, investment banking specialists, product managers, and designers—all dedicated to transforming the future of investment banking.
Job responsibilities
- Leverage AI and analytics to disrupt and innovate investment banking approaches, helping shape the tools and strategies for the banker of tomorrow.
- Focus on Recommender Systems, Time Series Forecasting, and Classification Systems, utilizing the latest advances in Large Language Models (LLMs) and AI technologies.
- Apply diverse analytical approaches—from traditional statistical models to advanced machine learning techniques—to solve complex problems in capital markets.
- Develop creative methods to analyse and derive actionable insights from unique and complex datasets.
- Present compelling insights to stakeholders through clear communication, visualizations, and impactful storytelling.
Required qualifications, capabilities, and skills
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related STEM field.
- 4 years of proven experience in developing and deploying production-grade machine learning systems in real-world applications.
- Proficient in Python and key data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark). Solid understanding of machine learning algorithms. Strong foundation in software engineering principles, including code modularity, documentation, versioning and adherence to best practices ensuring maintainable and scalable code development.
- Creative thinker who can tackle complex challenges and deliver meaningful impact.
- Technical excellence with strong communication skills to collaborate effectively with diverse teams.
- Self-motivated, adaptable, and have a passion for learning and innovation.
Preferred qualifications, capabilities, and skills
Familiarity with Large Language Models (LLMs) and natural language processing applications.
