Model/Analysis/Validation Officer

About the role

Provide independent review, governance oversight, and effective challenge of Artificial Intelligence (AI), Machine Learning (ML), statistical models, and AI/ML non-model tools used across Citi businesses. Lead end-to-end validation engagements, including scoping, methodology design, execution, and final conclusions, in accordance with Model Risk Management (MRM) policies and regulatory expectations. Design and implement comprehensive governance frameworks, policy procedures, and validation methodologies. Serve as the primary liaison with business Sponsors, Developers, Auditors, and Regulators, ensuring transparent communication of risk findings and remediation plans. Oversee deliverables of multiple validators and perform quality assurance reviews to ensure methodological rigor and regulatory compliance. Conduct forward-looking research on rapidly evolving AI technologies and develop adaptive validation guidelines and methodological frameworks for emerging AI/ML applications. Lead internal training, mentor junior analysts, and contribute to MRM policy development and regulatory reporting initiatives.

Responsibilities

• Perform model validation support activities within an established governance framework, including applying documented procedures/standards and completing input data quality checks used for validation reports and testing documentation.
• Execute quantitative testing, including preparing analysis-ready datasets, performing parameter testing, benchmark comparisons, stability testing, or other performance evaluation procedures, and documenting results in reports or draft summaries for review.
• Coordinate with cross-functional stakeholders during model review cycles, including business sponsors, developers, risk managers, to obtain required information and communicate validation observations and key results.
• Apply statistical and analytical methods to evaluate model performance, including one or more of hypothesis testing, regression analysis, time-series or stability/back-testing, using Python or R (or a similar statistical programming language) and at least one of SQL or SAS.
• Prepare written analytical reports and briefs that support communication with senior managers, internal/external auditors as applicable.
• Maintain documentation and tracking artifacts, including organizing workpaper files, updating inventories/logs, to support validation recordkeeping and review readiness in accordance with established documentation standards.

Requirements

• Bachelor’s degree, or foreign equivalent, in Applied Statistics, Mathematics, Computer Science, Computer Engineering, Data Science, or a related field and five (5) years of experience in the job offered or in a related quantitative occupation focusing on model performance validation and governance.
• Five (5) years of experience must include: Performing model validation support activities within an established governance framework, including applying documented procedures/standards and completing input data quality checks used for validation reports and testing documentation; Executing quantitative testing, including preparing analysis-ready datasets, performing parameter testing, benchmark comparisons, stability testing, or other performance evaluation procedures, and documenting results in reports or draft summaries for review; Coordinating with cross-functional stakeholders during model review cycles, including business sponsors, developers, risk managers, to obtain required information and communicate validation observations and key results; Applying statistical and analytical methods to evaluate model performance, including one or more of hypothesis testing, regression analysis, time-series or stability/back-testing, using Python or R (or a similar statistical programming language) and at least one of SQL or SAS; Preparing written analytical reports and briefs that support communication with senior managers, internal/external auditors as applicable; and, Maintaining documentation and tracking artifacts, including organizing workpaper files, updating inventories/logs, to support validation recordkeeping and review readiness in accordance with established documentation standards.

Qualifications

• In the alternative, employer will accept a Master’s degree and three (3) years of experience.

Skills

• Statistical and analytical methods
• Python or R programming
• SQL or SAS
• Model validation support activities
• Quantitative testing
• Stability testing
• Documentation and tracking artifacts

Benefits

Wage Range: $158,700.00 to $190,700.00

Available offerings may vary by jurisdiction, job level, and date of hire.

Pay

$158,700.00 to $190,700.00

Schedule

Full time

Job Family Group

Risk Management

Job Family

Model Development and Analytics

Time Type

Full time

Primary Location

Long Island City, New York, United States

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making.

Jurisdictional Considerations

Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right