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Head of Validation for AI Non-Model

India, Mumbai · Job Posted February 19, 2026
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Job Description

The Head of Validation for AI Non-Model is responsible for leading a team of highly technical resources to execute the Citi MRM AI Non-Model Risk Review Framework, including its Policy, Procedures, and relevant review process. This role requires a deep understanding of Artificial Intelligence and Machine Learning (AI/ML) technologies including Generative AI (GenAI), strong leadership skills, and the ability to drive innovation in a fast-paced environment. In addition, extensive Model Validation experience and effective challenge skills are critical to the success of this role. This role will report directly to the Global Head of Model Risk Management.

Job Responsibility

  • Develop and execute a comprehensive strategy for AI/ML Non-Model Risk Review
  • Partner with various stakeholders in 1st and 2nd Line of Defenses to support firm’s AI strategy, including adoption of GenAI use cases to support business initiatives
  • Oversee the technical aspects of AI/ML Non-Model Risk Review and monitoring, including Generative AI
  • Stay abreast of the latest advancements in GenAI and ensure the organization adopts best practices
  • Build, lead, and mentor the organization of AI/ML specialists, fostering a culture of innovation and collaboration
  • Provide guidance and support for their professional development
  • Effectively communicate with key stakeholders across different business units and functions
  • Clearly articulate the MRM requirements of AI/ML validation and manage expectations
  • Implement robust risk management frameworks for AI/ML Non-Model Risk Review, addressing potential ethical, regulatory, and operational risks
  • Ensure compliance with relevant guidelines and policies
  • Drive continuous improvement and innovation in AI/ML Non-Model Risk Review process
  • Explore new opportunities and technique for enhance risk management practice and support speed to market
  • Build and maintain strategic partnerships with relevant AI/ML external vendors, research institutions, and industry experts
  • Manage budget and resources effectively

Requirements

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  • 15+ years of experience in AI/ML, with a strong focus on GenAI
  • Proven track record of leading and delivering successful GenAI projects
  • Deep understanding of AI/ML technology including GenAI, architectures, and training techniques
  • Proficiency in relevant programming languages and tools
  • Exceptional leadership and team management skills
  • Excellent written and verbal communication skills
  • Strong understanding of business processes and the value proposition of the GenAI use cases to drive business value
  • Experience in developing and implementing risk management frameworks for AI/ML, specifically in the context of Generative AI
  • Ability to build and maintain strong relationships with key stakeholders, both internal and external
  • Bachelor's/University degree, Master's degree preferred
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