GenAI Enablement Associate

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 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 2+ years' 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

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