Job Description
J.P. Morgan is seeking a talented candidate for the Commercial & Investment Bank (CIB) Chief Data & Analytics Office (CDAO). The GenAI Enablement team is responsible for driving the adoption of LLMs and GenAI across the CIB (e.g. Markets, Banking, Payments, Securities Services).
As a GenAI Enablement Senior Associate for the Commercial & Investment Bank (CIB), you will play a pivotal role in driving the CIB's GenAI agenda, in particular around Large Language Models (LLMs) and Agents. In partnership with in-business stakeholders and technical partner teams (Firmwide Chief Data & Analytics Office), the CIB GenAI Enablement team is maximizing the impact of GenAI for the CIB, including leading the CIB rollout of JPMC's internal tool, LLM Suite, as well as identifying and accelerating the most impactful LLM Use Cases.
Job responsibilities:
- Drive the adoption of GenAI across the CIB through: 1) Prompt training and knowledge sharing; 2) Ideating and developing LLM use cases
- Develop technical expertise in GenAI, specifically to become an SME on LLMs and Agents, in order to identify business problems that can be solved with this technology
- Identify priority GenAI use cases for the CIB and drive execution of CIB CDAO's top strategic initiatives, as well as working closely with Firmwide AI stakeholders
- Define and deconstruct complex problems through strategic business deep dives and develop communication skills by providing synthesized analysis to the CIB Chief Analytics Officer and senior stakeholders across the CIB
- Recognize emerging trends in GenAI ahead of broader market adoption and monitor competitor approaches and latest product releases as the AI market evolves
Required qualifications, capabilities, and skills:
- Diverse problem solving experience, with commercial work experience in strategy or AI/ML related role preferred (top management consultancy, internal strategy, other similar fields also considered, including investment banking, VC, etc.)
- Knowledge and understanding of GenAI and emerging technologies required
- BSc or MSc degree in relevant STEM field preferred but not required (e.g. Data Science, Computer Science)
- An outstanding ability to analyze problems and apply quantitative analytical approaches
- Ability to quickly assimilate new topics/information and synthesize with excellent attention to detail
- Proficiency in MS Excel and PowerPoint
- Knowledge of Python, orchestration frameworks (e.g. LangGraph) and visualization tools (e.g. Tableau) preferred but not required
About Us
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.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.