Citi Group Fraud Analytics Model Validation Officer Hybrid 

United States, Florida, Jacksonville 

178645463

Responsibilities:

• Develops, enhances, and publishes Model/AI Development Documentation to obtain governance approval enabling business use while managing inherit risk.
• Key partner managing Fraud Model Risk including managing stakeholder interaction with model developers, Vendors, and Model Risk Management Validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews.
• Distill diverse and complex information from various technical sources into a comprehensive, common language documentation intended for audiences without technical or Fraud knowledge.
• Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
• Presents model validation findings to senior management, supervisory authorities, and regulatory agencies as required.
• Maintain a comprehensive library of technical terminology and reference materials.
• Identifies modeling opportunities that yield measurable business results.
• Contributes to strategic, cross-functional initiatives within the Fraud Analytics organization.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6+ years relevant experience in an analytical capacity required
• Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation.
• Experienced user of Microsoft Office Suite, especially Excel &Word. Knowledge of SAS, Python or R language a plus.
• Ability to formulate findings clearly and concisely in a written form and strong verbal communication skills.
• Good analytic, creative thinking, and problem-solving abilities to multitask, work well under pressure, and deliver results under tight deadlines.
• Adept and meticulous at analysis and documentation of results.
• Self-motivated and detail oriented
• Demonstrated project management and organizational skills
• Practical experience using SAS/Python or similar statistical coding software to build and test prediction models. comfortable interfacing with model developers/vendors. proficiency handling very large data sets.
• Working knowledge and understanding of a variety of model development and validation testing techniques covering risk models/AI.

Education:

• Minimum Requirement: Bachelor’s Degree in statistics, mathematics, engineering, physics, economics, or related quantitative discipline.
• Master's degree preferred

Anticipated Posting Close Date:

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