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 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.

Key Responsibilities:

The Analytics Portfolio Management team for the CIB Chief Analytics Office is responsible for the end-to-end coordination of the analytics operating model in the entire CIB and for driving high priority AI initiatives. The position would support delivery of the CIB’s strategic AI priorities, providing portfolio analysis and recommendations, contributing to business development and enabling the wider AI community. Some of the responsibilities include but are not limited to:

• Perform in-depth analysis of CIB analytics data to uncover trends, inefficiencies, and opportunities. Scope complex business problems, formulate hypotheses, and design robust, scalable analytical solutions leveraging AI and automation

• Develop sophisticated, interactive dashboards and visualizations to translate complex analytics into actionable insights for senior stakeholders.

• Identify opportunities for solution reuse, scalability, and continuous improvement across the portfolio

• Proactively generate new ideas to enhance the analytics operating model, develop proof-of-concept solutions, and help shape best practices in the CIB AI community

• Partner with stakeholders to set objectives, align on resource allocation, strategies and analytics priorities

• Design and implement automated processes ensuring data integrity and real-time visibility

• Manage and execute key analytics projects, facilitating idea generation and applying quantitative frameworks to assess project opportunities and enable prioritisation.

Required Qualifications, Capabilities, and Skills:

• Driven with a strategic and curious mindset and not afraid to challenge the status quo

• Outstanding ability to analyse problems and apply quantitative analytical approaches

• Proficiency in Python, data visualisation software (e.g. Tableau) and data analytics software (e.g. Alteryx)

• Able to deliver to conclusion multiple initiatives across a diverse group of partners, with the ability to manage multiple deliverables and work under pressure

• Easily assimilate new information with excellent attention to detail

• Strong verbal/written skills; ability to communicate effectively

Preferred Qualifications, Capabilities, and Skills:

• Business management, project or product management experience preferred

• Experience or understanding of Financial Services and / or AIML Technologies preferred