Liquidity & Account Solutions - Analytics & AI Enablement - Vice President

JPMorganChase; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

JPMorgan Chase in London is seeking a Vice President to lead analytics and AI within Payments. You will deliver scalable data products, enable AI adoption, and translate complex business challenges into actionable insights that drive growth, liquidity optimization, and better client outcomes.

As a bridge between business stakeholders, Quantitative Research, and Technology, you will govern end-to-end analytics initiatives, promote self-service capabilities, and collaborate with enterprise AI

Qualifications

• Significant experience in financial services (Payments, Treasury, Securities Services, FinTech, or Corporate & Investment Banking).
• Proven experience delivering data, analytics, AI, or ML products with technology teams and data scientists.
• Strong product management/analytics background with ownership of complex initiatives.
• Ability to translate business requirements into scalable analytical solutions.
• Exceptional communication and stakeholder management, with ability to influence senior leadership.
• Experience leading cross-functional teams in fast-paced environments.
• Experience using JIRA, Confluence, and Microsoft Teams.
• Undergraduate degree in a quantitative field.
• Familiarity with AI/ML methods and data visualization tools.

Responsibilities

• Lead end-to-end delivery lifecycle of analytics, AI/ML, and BI solutions from requirements through deployment.
• Define and execute AI/ML strategy, including use-case prioritization and model lifecycle management.
• Partner with Quantitative Research, Technology, and Product teams to develop and scale AI capabilities.
• Drive analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth.
• Establish AI/ML governance including validation, monitoring, bias reviews, and compliance.

Skills

Analytics products

AI/ML strategy

Stakeholder management

Cross-functional leadership

JIRA & Confluence

Production-ready analytics

Data storytelling

Education

Undergraduate degree in quantitative discipline

Tools

Tableau

Power BI

Qlik

Alteryx

Job description

Job Description

Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes.

Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes.

As a Vice President within the Liquidity & Account Solutions (L&AS) Business Intelligence & Analytics team, you will lead the delivery and adoption of advanced analytics, artificial intelligence, and machine learning solutions that support strategic decision-making across the Payments business. Acting as a bridge between business stakeholders, Quantitative Research, and Technology, you will drive the end-to-end development and deployment of scalable analytics products while ensuring strong governance, compliance, and business impact. This role is critical to advancing L&AS's AI and analytics capabilities across key growth areas including deposit analytics, liquidity management, balance sheet optimization, and revenue enhancement.

Job 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.

Required Qualifications, Capabilities & Skills

• 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.

Preferred Qualifications, Capabilities & Skills

• Undergraduate degree in a quantitative discipline, including Computer Science, Data Analytics, Economics, Statistics, Engineering, or a related field.
• Working knowledge of AI and machine learning methodologies, including supervised learning, unsupervised learning, predictive modeling, Generative AI, and Large Language Models (LLMs).
• Experience with data visualization, analytics, and reporting tools such as Tableau, Power BI, Qlik, Alteryx, or similar platforms.
• Familiarity with model governance, validation frameworks, and responsible AI practices. Strong understanding of enterprise data architecture, analytics enablement, and data-driven operating models.

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.