AI Enablement VP: Transform Banking Workflows

JPMorganChase

Greater London

On-site

GBP 90,000 - 150,000

Full time

2 days ago
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Job summary

JPMorganChase is seeking a Business Enablement Vice President within the Commercial & Investment Bank, aligned to the Chief Data & Analytics Office. You will embed with the Markets, Banking and Payments teams to translate day-to-day workflows into production AI solutions quickly using internal tooling and reusable components.

You will design and own production-grade implementations, collaborate with Technology and data science teams, and drive measurable commercial impact while meeting

Qualifications

  • Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related quantitative field.
  • Hands-on experience writing and shipping production Python in an enterprise engineering environment.
  • Experience designing and deploying large language model applications and prompts.

Responsibilities

  • Embed with senior stakeholders across Markets, Banking and Payments to observe workflows and identify AI opportunities.
  • Translate domain context into technical requirements and reusable components for at-scale adoption.
  • Design, prototype, and ship production AI solutions using internal tooling and systems.
  • Own end-to-end architecture and development for selected use cases with data, prompts, and deployment.

Skills

Capital markets knowledge
Python
LLM applications
Stakeholder communication
Problem solving

Education

Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related quantitative field

Tools

Prompt libraries
Vector stores
API integration

Job description

JPMorganChase is seeking a Business Enablement Vice President within the Commercial & Investment Bank, aligned to the Chief Data & Analytics Office. You will embed with the Markets, Banking and Payments teams to translate day-to-day workflows into production AI solutions quickly using internal tooling and reusable components.

You will design and own production-grade implementations, collaborate with Technology and data science teams, and drive measurable commercial impact while meeting

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