Citi Group VP Model Analysis Validation Officer Hybrid 

United States, Florida, Tampa 

271271916

Responsibilities:

• Develop advanced scenario-based loss likelihood and loss severity models for wholesale credit portfolios.
• Develop quantitative methodologies, algorithms, and tools for model development as well as for testing of models robustness, stability, and overall performance.
• Conduct reliability analyses and perform quality control of modeling data and model results.
• Manage model risk across the entire model life-cycle, including model development, model validation, ongoing performance assessment, and annual model reviews.
• Create and maintain technical documentation for modeling methodologies and applications, including project plans, model descriptions, mathematical derivations, data analyses, processes, and quality controls.
• Implement financial quantitative analytical tools and support model migration to the production environment.
• Liaise with business risk managers, clients and partners in the analysis and interpretation of model results, incorporating their feedback as appropriate.
• Manage stakeholder interaction with model developers and business owners throughout the model life-cycle.
• Prepare and deliver training materials, presentations, and reports on credit risk analytics for technical and non-technical audiences.
• Provide leadership and guidance for junior modelers.
• 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:

• 6-10 years experience.
• Self-motivated and detail oriented.
• Sound knowledge and understanding of a variety of model development methodologies and industry best practices.
• Experience with econometric and statistical modeling or risk scoring.
• Demonstrated project management and organizational skills and capability to handle multiple projects simultaneously.
• Practical experience using Python or R to build and test predictive models.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time.
• Proficiency in working with large data sets and data pulls from relational databases.
• Experience in a quantitative role in risk management at a financial institution performing model development or validation.
• Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

Anticipated Posting Close Date:

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