Icb Data Control Manager

JPMorgan Chase JPMorgan Chase · Banking · LONDON, United Kingdom · Corporate Sector

Manager role focused on AI/ML governance, data control, and operational risk within a financial institution. The role involves overseeing risk, ensuring compliance, and managing projects related to AI/ML, particularly LLMs and Generative AI, within the International Consumer Business.

What you'd actually do

  1. Oversee the ICB control environment, ensuring effective risk identification, assessment, and governance.
  2. Lead the development and management of processes for control issue identification, remediation, and completion.
  3. Collaborate with the Chief Data & Analytics Office to monitor operational risk and control effectiveness.
  4. Drive strategic transformation of data and analytics control practices.
  5. Manage projects responding to firmwide, regulatory, and industry changes.

Skills

Required

  • audit, internal control, or operational risk experience
  • data risk management, data privacy, analytics, and IT
  • AI and model risk governance, including Large Language Model (LLM) and Generative AI risk considerations
  • Financial services experience, ideally within retail or consumer banking or corporate and investment banking, with team management
  • conducting risk and control self-assessments and managing operational risk issues
  • critical thinking, project management, and analytical skills
  • address conflicts directly and escalate issues appropriately
  • verbal, written, and technical communication skills, including strong presentation abilities
  • perform under pressure and manage competing priorities with tight deadlines

Nice to have

  • IT auditing, programming controls, or data management and governance
  • digital-first environment with agile methodologies and tools such as JIRA and Confluence
  • Management-level experience at a large financial institution, regulator, consulting firm, or retail bank
  • Experience setting up a new retail or digital bank is a plus

What the JD emphasized

  • AI and model risk governance
  • Large Language Model (LLM) and Generative AI risk considerations
  • Financial services experience
  • regulatory engagements