Applied AI & ML Data Scientist Lead – Global Investment Bank Digital (GIBD)
LONDON, LONDON, United Kingdom
JPMorgan Chase & Co.
Are you ready to redefine investment banking through AI and data-driven innovation? Join the Global Investment Bank Digital (GIBD) team at JPMorgan Chase, where you'll work in a dynamic, collaborative environment that combines digital transformation with the power of a leading global investment bank. Break down traditional barriers and push the boundaries of what's possible in finance with exceptional talent.
As a member of our cross-disciplinary team, you will leverage AI and analytics to innovate investment banking approaches. You will focus on Recommender Systems, Time Series Forecasting, and Classification Systems, utilizing the latest advances in Large Language Models (LLMs) and AI technologies. Your role will involve applying diverse analytical approaches to solve complex problems in capital markets and presenting compelling insights to stakeholders.
Job Responsibilities:
- Leverage AI and analytics to disrupt and innovate investment banking tools and strategies.
- Focus on Recommender Systems, Time Series Forecasting, and Classification Systems using LLMs and AI technologies.
- Apply traditional statistical models and advanced machine learning techniques to complex capital market problems.
- Develop creative methods to analyze and derive actionable insights from unique datasets.
- Present 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.
- Proven experience in developing and deploying production-grade machine learning systems.
- Proficient in Python and key data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark).
- Solid understanding of machine learning algorithms and software engineering principles.
- Creative thinker with strong communication skills to collaborate with diverse teams.
- Self-motivated, adaptable, and passionate about learning and innovation.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with Large Language Models (LLMs) and natural language processing applications.
Why Join Us?
- Work on high-impact projects that redefine the future of investment banking.
- Collaborate with a world-class team of experts in AI, data science, and finance.
- Be part of a fast-growing, innovative environment with global reach and unmatched resources.
Apply now and help us build the AI future of investment banking.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Classification Computer Science Engineering Finance LLMs Machine Learning NLP NumPy Pandas PhD PySpark Python PyTorch Recommender systems Statistics STEM TensorFlow
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.