Vice President, AI & Analytics for Liquidity Solutions

J.P. MORGAN

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

J.P. Morgan is seeking a Vice President within the Liquidity & Account Solutions team to lead analytics, AI/ML, and BI initiatives across Payments.

You will partner with Quantitative Research, Technology, and Product to scale innovative capabilities, drive governance, and deliver measurable business impact in liquidity management and revenue growth. The role focuses on producing scalable data products, influencing strategy, and enabling AI adoption while ensuring regulatory compliance and strong

Qualifications

Significant experience within financial services including Payments, Treasury Services, Securities Services, FinTech, or Corporate & Investment Banking environments.
Proven experience building and delivering data, analytics, AI, or machine learning products in partnership with technology teams and data scientists.
Strong product management, product development, technology, or analytics background with demonstrated ownership of complex initiatives.
Ability to translate business requirements into scalable, production-ready analytical solutions.
Exceptional communication, presentation, and stakeholder management skills, with the ability to influence senior leadership and diverse audiences.
Demonstrated success leading cross-functional teams and managing multiple priorities in a fast-paced environment.
Experience utilizing project management and collaboration tools such as JIRA, Confluence, and Microsoft Teams.

Responsibilities

Lead the end-to-end delivery lifecycle of analytics, AI/ML, and business intelligence solutions, from requirements gathering through production deployment.
Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives.
Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities.
Drive the implementation and adoption of business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth.
Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements.
Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards.
Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across business stakeholders.
Collaborate with enterprise AI Centers of Excellence to leverage shared platforms, tools, and best practices.
Influence cross-functional stakeholders to prioritize analytics investments and drive measurable business outcomes.