Description J.P. Morgan is seeking talented candidates for the Chief Analytics Office (CAO) of the Commercial & Investment Bank (CIB). The CIB CAO is responsible for accelerating the Analytics agenda globally across Markets Trading, Sales & Research, Payments, Securities Services, and Global Banking—driving the integration of advanced analytics and AI into business strategies to deliver measurable commercial impact. The responsibilities of the Chief Analytics Office include advancing both traditional AI/ML and generative AI capabilities, identifying priorities and focusing on high-impact AI use cases, setting the GenAI strategy around LLMs and Agentic AI, reusing and scaling AI solutions across lines of business, fostering a culture of innovation and an AI-first mindset among employees. As GenAI Enablement Lead, you will be tasked with the development of AI strategy, in particular around Large Language Models (LLMs). The team contributes to the strategy for the CIB’s AI&ML initiatives, drives CIB’s adoption of GenAI and provides client advisory on the topic of GenAI to key CIB clients. This role provides an excellent opportunity to influence and shape the strategic agenda for GenAI adoption and spearhead the deployment of JPM's GenAI products within the CIB. You will gain highly technical expertise in Data, AI, and Machine Learning, and refine your problem-solving and communication skills. You will also be expected to identify emerging trends before they become widely adopted in the market, and stay updated on competitor strategies and new technologies as the AI landscape continues to evolve. Job responsibilities Develop technical expertise in GenAI, specifically to become an SME on LLMs and Agents Critically assess GenAI products and influence the product roadmap Define and deconstruct complex problems that can be solved through GenAI and identify key priority CIB use cases Provide thought leadership on GenAI & LLMs to key CIB clients Assimilate information and provide synthesised views for senior management Identify emerging trends ahead of broader market adoption Required qualifications, capabilities, and skills Driven with a strategic and curious mindset and keen to continuously learn Prior experience with and knowledge of GenAI required, including LLMs, Prompt Engineering and agentic framework Outstanding ability to analyse problems and apply quantitative analytical approaches with excellent attention to detail Strong verbal/written skills; ability to communicate effectively with management Preferred qualifications, capabilities, and skills Experience or understanding of Financial Services BSc or MSc degree in relevant field (e.g. Computer Science) Knowledge of Python, orchestration frameworks