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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, mid-level experience, and metro location create moderate applicant competition.
Strong financial-services model risk and regulatory context limits transferability across industries.
Explicit years, GenAI mandate, Master's degree and financial-model risk experience enforce strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Independently review and challenge AI and machine learning systems including Generative AI across Citi’s global operations.
Validate AI risk management practices and ensure compliance with policies, standards, and regulatory requirements throughout AI model lifecycles.
Engage with developers, governance teams, auditors, and regulators to provide evidence-based risk assessments and contribute to AI risk framework improvements.
Minimum Requirements
Master's degree or higher in mathematics, statistics, computer science, engineering, data science, AI, machine learning, or related quantitative field.
Minimum 4 years analytics experience in financial services or related industry; at least 2 years focused on Generative AI, Agentic AI, or machine learning.
Hands-on technical knowledge of AI/ML techniques with ability to assess application and limitations in financial context.
Experience with financial services risk, regulatory, and governance frameworks relevant to AI systems.
Ideal Candidate Profile
Experienced in AI model risk validation or independent review of quantitative models within financial institutions.
Skilled at handling multiple complex workstreams with high precision and meeting deadlines consistently.
Effective communicator able to influence diverse stakeholders across technical, risk, and governance functions.