Gen AI Validator, Officer (Hybrid)

Citi; Mumbai; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid work arrangement

Exposure to AI sub-fields at scale

Cross-functional strategic initiatives

Continuous learning and development

Performance-driven environment

Competitive financial wellbeing

Job summary

Citi in Mumbai seeks an experienced Senior AI/ML Risk Model Validator to independently review AI/ML systems across their lifecycle, ensuring risks are identified and clearly communicated. You will engage with developers, governance, internal audit and regulators to provide evidence-based guidance on AI risk matters.

Responsibilities include validating risk measurement methodologies for market, credit and operational risk, and contributing to scalable AI governance frameworks.

Qualifications

• 4+ years of analytics experience in financial services or related industry.
• At least 2 years focused on Generative AI, Agentic AI, or machine learning.
• Ability to communicate complex technical findings clearly to diverse audiences.
• Experience in financial services risk, regulatory, and governance landscape.

Responsibilities

• Conduct independent reviews and substantive challenge of AI/ML systems throughout their full lifecycle.
• Assess AI/ML implementations against risk policies, testing standards and procedures.
• Engage with AI developers, governance teams, internal audit, and regulators for evidence-based guidance.
• Validate and enhance methodologies to measure and monitor risk across market, credit and operational types.
• Prepare responses for regulatory examinations with clear, evidenced findings.
• Contribute to design and improvement of risk frameworks governing AI systems at scale.
• Collaborate on cross-functional initiatives to advance AI validation standards.

Skills

Analytical Thinking

Education

Master's degree or above in mathematics, statistics, computer science, engineering, data science, AI, machine learning, or a related quantitative field

Job description

Responsibilities

• Conduct independent reviews and substantive challenge of AI and machine learning systems throughout their full lifecycle, ensuring risks are identified and clearly communicated to stakeholders.
• Assess AI and machine learning implementations against applicable risk policies, testing standards, and procedural requirements to ensure all risk dimensions are appropriately managed.
• Engage directly with AI developers, sponsors, governance teams, internal audit, and regulators to provide clear, evidence-based challenge and guidance on AI-related risk matters.
• Validate and enhance methodologies used to measure and monitor risk across market, credit, and operational risk types, ensuring analytical rigour and accuracy.
• Prepare and contribute to responses for internal and external regulatory examinations, ensuring findings are well-evidenced and clearly articulated.
• Contribute to the design and continuous improvement of risk frameworks, programmes, and practices that govern AI systems at scale.
• Collaborate on cross-functional strategic initiatives within the model risk management organisation, helping to advance standards and best practices across the AI validation function.

Required qualifications & skills

• Master's degree or above in mathematics, statistics, computer science, engineering, data science, AI, machine learning, or a related quantitative field.
• 4 or more years of analytics experience in financial services or a related industry, with at least 2 years focused on Generative AI, Agentic AI, or machine learning.
• Hands-on technical knowledge of common AI and machine learning techniques, with the ability to critically assess their application and limitations in a financial context.
• Experience working in financial services, with a clear understanding of the risk, regulatory, and governance landscape relevant to AI systems.
• Ability to communicate complex technical findings clearly and concisely, both in writing and verbally, to a range of technical and non-technical audiences.
• Demonstrated ability to manage multiple concurrent workstreams with precision, meeting deadlines and maintaining quality across all deliverables.
• Strong stakeholder engagement skills, with the ability to influence and build effective working relationships across technical, risk, and governance teams.

Beneficial skills & qualifications

• Prior experience in model validation, including the independent review and challenge of quantitative models or AI systems within a financial institution.

What we offer

• A hybrid working arrangement with 3 days in the office and 2 days working remotely, providing flexibility alongside meaningful in-person collaboration.
• Exposure to the full spectrum of AI sub-fields — from Generative AI and Agentic AI to computer vision and anomaly detection — at a scale few organisations can offer.
• The opportunity to contribute to strategic, cross-functional initiatives that influence AI governance standards across global markets and business lines.
• Continuous learning and professional development, with access to cutting-edge AI and risk management practices in a rapidly evolving field.
• A performance-driven environment where your analytical contributions are visible, valued, and directly connected to business outcomes.
• Competitive financial wellbeing and benefits, alongside a global organisation with long-term career pathways across risk, AI, and financial services.

Job Family Group

Risk Management

Job Family

Model Validation

Time Type

Full time

Most Relevant Skills

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Equal Opportunity Employer

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.

Disability Accommodation

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