JPMorgan Head AI Accelerator - Executive Director Commercial & Investment Bank 

United Kingdom, England, London 

265560925

A key part of the CIB CAO is the newly-created
AI Accelerator

The Head of AI Accelerator will report directly to the CIB Chief Analytics Officer.

Job responsibilities

• Direct the AI Accelerator team in high-priority AI initiatives, hiring and managing a diverse and talented team, balancing technical excellence with tangible commercial impact.
• Foster a culture of innovation and an AI-first mindset, promoting collaboration and excellence
• Present to Senior Leadership on biggest AI opportunities and progress of the special AI programs
• Conduct thorough analysis of quantitative and qualitative data available to produce clear, actionable insights and recommendations for the business
• Collaborate with in business Analytics and Technology teams for the end-to-end delivery of the AI solutions
• Oversee the development and scaling of AI solutions across the organization, ensuring alignment with business objectives
• Assimilate information and communicate complex analyses and recommendations effectively to senior executive stakeholders across the organization
• Remain up-to-date with latest progress and breakthrough in the AI community
  

Required qualifications, capabilities, and skills

• Proven ability to lead and inspire high performing team with curiosity, humility and willingness to learn about the CIB businesses working side-by-side with business experts
• Passion for problem solving and innovative (out of the box) thinking
• Ability to learn complex business problem statements and re-formulate in simple terms, and to distill complex data into actionable insights
• Exceptional attention to detail and a commitment to accuracy
• Deep expertise in both traditional AI/ML and generative AI

Preferred qualifications, capabilities, and skills

• Experience or understanding of Financial Services
• Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization
• Deep expertise in statistical analysis, experimental design, and causal inference
• Proficiency in Python, orchestration frameworks, SQL and other analytical tools