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JPMorgan Chase & Co.

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

London
Posted 1 day ago
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Drive the future of analytics and AI within Payments

Deliver scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes.

About the Role

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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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.

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About J.P. Morgan

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.

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.

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Skills

Analytics
Artificial Intelligence
Machine Learning
Product Management
Data Strategy
Liquidity Management
Stakeholder Management
Financial Services
Business Intelligence
Generative AI
Predictive Modeling
Data Governance
Regulatory Compliance
Project Management
Cross-functional Leadership
Strategic Decision-making

Location

London, England, United Kingdom

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