Lead Gen AI Validation Engineer, VP (Hybrid)

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here.  At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks.  We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning.  You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citi’s Risk Management organization oversees risk-taking activities and assesses risks and issues independently of the front line units.  We establish and maintain the enterprise risk management framework that ensures the ability to consistently identify, measure, monitor, control and report material aggregate risks.

We’re currently looking for a high caliber professional to join our team as Vice President, Sr. AI/ML Model Risk Validator (Internal Job Title: Model Validation 2nd LOD Lead Analyst - C13) based in Mumbai or Bangalore, India.  Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.  For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
• We empower our employees to manage their financial well-being and help them plan for the future.
• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

The Risk Analytics, Modeling, and Validation role focuses on developing, enhancing, and validating methodologies for measuring and analyzing various types of risks, including market, credit, and operational risks. The AI Non-Model Risk Review Team within Model Risk Management (MRM) is seeking a Senior Validator to join its dynamic and innovative team. This team is responsible for managing model risk associated with AI Non-Model Objects across Citi’s diverse lines of business. The portfolio includes a mix of AI models, with a strong emphasis on Generative AI.

This is an individual contributor role that involves validating Generative AI models and Agentic AI Use Cases. The position offers a unique opportunity to shape the future of AI risk management within Citi while working at the intersection of cutting-edge technology and risk management.

Responsibilities:

• Key responsibility will be to perform independent review and conduct effective challenge across the lifecycle of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects, including GenAI and Agentic AI Use Cases.
• Ensure adherence to applicable policies, procedure, templates, and testing guidance to manage the risk of all aspects of the AI/ML non-model objects
• Drive constructive engagements with key stakeholders such as AI/ML Sponsors / Developers, MRM Governance, AI-CoE, Internal Audit, and regulators regarding AI/ML related matters
• Support in satisfying the requirements for all internal / external regulatory exams
• Develop, enhance, and validate the methods of measuring and analyzing risk, for all risk types including market, credit and operational
• Support the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management
• Contribute to strategic, cross-functional initiatives within the model risk management organization

As a successful candidate, you’d ideally have the following skills and exposure:

• Advanced degree (Master’s and above) is required in the fields of mathematics, statistics, computer science, engineering,…