At a Glance
- Tasks: Lead the delivery of AI and analytics solutions to transform business challenges into actionable insights.
- Company: Join a leading financial services firm driving innovation in Payments and analytics.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to influence strategic decision-making.
- Why this job: Shape the future of AI in finance and make a real impact on client outcomes.
- Qualifications: Experience in financial services and proven skills in analytics and AI product delivery.
The predicted salary is between 99000 - 121000 £ per year.
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, Fin Tech, 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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Liquidity & Account Solutions - Analytics & AI Enablement - Vice President in London employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
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