Senior Model Validation Specialist

1 month ago


Bengaluru, Karnataka, India 12542 Citicorp Services India Private Limited Full time
Job Summary

Citi is seeking a highly skilled Senior Model Validation Specialist to join our Risk Management team. As a key member of our Artificial Intelligence (AI) Review and Challenge Group, you will be responsible for performing independent review and effective challenge of all lifecycle activities of AI/ML non-model objects used in Citi.

Key Responsibilities
  • Provide independent review and effective challenge on the soundness and fit-for-purpose of AI/ML non-model objects used in Citi
  • Manage AI/ML risk across all life-cycle activities including initial review, ongoing monitoring, and periodic reviews
  • Conduct analysis and prepare detailed technical documentation reports sufficient to meet regulatory guidelines and exceed industry standards
  • Identify weaknesses and limitations of AI/ML objects and inform stakeholders of their risk profile and recommend compensating controls
  • Communicate results to diverse audiences such as AI/ML object owners and developers and senior management
  • Manage stakeholder interactions with AI/ML object developers and owners across the review lifecycle
  • Provide guidance to junior reviewers as and when necessary
  • Contribute to strategic, cross-functional initiatives within the model risk management organization
  • Validate NLP binary, multiple-class, and deep learning models to assess model risk and ensure compliance with regulatory standards
  • Collaborate with data scientists and machine learning engineers to understand the models, their use cases, and the associated risks
  • Stay updated with the latest industry trends, best practices, and regulatory requirements related to NLP and machine learning models
  • Ensure the models are in line with the company's risk appetite and meet the necessary regulatory requirements
  • Translate complex NLP models and their risks to non-technical stakeholders
Requirements
  • 8+ years' experience
  • Model validation experience using NLP techniques is mandatory
  • Experience/familiarity with AI/ML applications in areas such as generative AI, cybersecurity, chatbot, natural language processing, image/voice recognition, robotic process automation
  • In-depth technical knowledge of generative AI, common AI/ML techniques, and strong understanding of risks associated with generative AI, AI/ML, and corresponding mitigants
  • Ability to collaborate with peers and stakeholders with various backgrounds and to effectively explain technical terms to audiences with different levels of technical knowledge
  • Ability to conduct independent research on cutting-edge technology about generative AI
  • Self-motivated and detail-oriented
  • Masters with a specialization in Statistics, Mathematics, Finance, or other quantitative discipline - data science, AI/ML, etc. preferred


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