VP – Sr. AI/ML Model Validator - Mumbai/Bangalore
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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:
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- We empower our employees to manage their financial well-being and help them plan for the future.
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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 developing MRM's Generative 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.
In this role, you’re expected to:
- Manage a portfolio of Generative AI and Natural Language Processing (NLP) models, with a focus on operational efficiency and process automation. Perform model validations, annual reviews, ongoing monitoring, model limitation remediation, and supervisory/peer reviews for the assigned portfolio.
- Evaluate both technical and functional aspects of Generative AI and NLP models, including model assumptions, conceptual soundness, mathematical formulation, calibration, and performance. Assess the functional application of these models for regulatory and business purposes.
- Conduct in-depth reviews of model development documentation, identify shortcomings, execute validation tests, and communicate findings to senior stakeholders. Prepare comprehensive validation reports and manage model risk on an ongoing basis.
- Conduct research on emerging techniques in Generative AI, NLP, and machine learning to ensure the team remains at the forefront of innovation. Develop model validation guidelines and testing playbooks to standardize best practices.
- Present validation findings and recommendations to senior management and other stakeholders, ensuring clear communication of complex technical concepts to non-technical audiences.
- Collaborate with cross-functional teams to develop and implement Generative AI solutions, driving innovation and operational excellence. Contribute to the development of Generative AI Use Cases for Model Risk Management.
- Provide leadership through mentorship and coaching of junior team members, fostering their technical and professional growth.
As a successful candidate, you’d ideally have the following skills and exposure:
- Over-all industry experience of at least 6+ years, 4+ years of which should be specific experience in AI/ML model development, validation, or implementation, with a strong focus on Natural Language Processing (NLP).
- Hands-on experience with Generative AI models, including development, implementation, Retrieval-Augmented Generation (RAG), and prompt engineering, is highly desirable.
- Advanced programming skills in Python, with proficiency in data analysis, interpretation, and visualization.
- Deep understanding of model risk management frameworks and regulatory requirements, with the ability to apply these principles effectively in practice.
- Proven ability to manage multiple projects simultaneously, demonstrating strong organizational and project management skills.
- Strong communication skills, with the ability to articulate complex technical findings to non-technical stakeholders and senior management in a clear and concise manner.
- Demonstrated ability to learn and apply new techniques in AI/ML, particularly in Generative AI and NLP.
Education:
- Master’s or Ph.D. degree in a quantitative field such as AI/ML, NLP, Computer Science, Data Science, Statistics, Mathematics, Finance, or a related discipline.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Take the next step in your career, apply for this role at Citi today
https://jobs.citi.com/dei
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
Risk Analytics, Modeling, and Validation------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Analytical Thinking, Business Acumen, Credible Challenge, Data Analysis, Governance, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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