Citi is seeking a Senior Vice President (SVP) level professional to join the Risk Modeling & Analytics team, with responsibility for developing, enhancing, and implementing credit risk models under the CCAR (Comprehensive Capital Analysis and Review) and CECL (Current Expected Credit Loss) frameworks. This role is critical to driving Citi's risk measurement, forecasting, and capital adequacy assessment for the North America Cards portfolio.
The candidate will play a lead role in model design, development, and documentation, while ensuring compliance with internal Model Risk Management (MRM) standards and regulatory guidance.
Candidates should have an advanced quantitative degree in statistics, econometrics, or a related field, with over a decade of experience in credit risk modeling, specifically in developing CCAR and CECL models for unsecured credit products such as credit cards. Proficiency in statistical programming languages such as SAS or Python and strong knowledge of econometric techniques and data management is required. Excellent communication skills and proven ability to navigate complex regulatory environments and influence senior stakeholders are essential for success in this leadership role.
Responsibilities: - The successful candidate will collaborate closely with business partners, finance, risk, and Model Risk Management teams to maintain model integrity and compliance while driving continuous enhancements.
- Lead the creation of detailed model documentation and play a key role in regulatory examinations and internal model validation processes.
- Leading and mentoring quantitative analysts and model developers is a vital component of this position, along with anticipating evolving regulatory requirements and proactively adapting modeling approaches.
- Develop models and oversee model development, validation, and deployment efforts.
- Advances Risk Management methodology and integrate models into business decisions and planning.
- Manage successful annual quantitative and qualitative assessments and submissions.
- Works with large datasets and complex algorithms to solve data science challenges.
- Leverages big data to develop innovative deployable solutions.
- Help introduce best-in-class, cutting edge Model techniques to drive profitability through innovation.
- Ensures timely model performance tracking, and assist in process automation to drastically improve process/operation efficiencies (where possible) that will enable the business to make rapid decisions against market condition changes
- Ensures the compliance of development and validation of models with respect to internal and external guidelines.
- Supports the development of training curriculum and standards
- Interacts with senior levels of management to facilitate understanding of usage of risk models and inform critical decisions.
- 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: - 10+ years experience
- Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring.
- Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
- Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX) Proficient with MS Office suite.
- Ability to deliver compelling presentations and influence executive audiences.
- Excellent communicator; ability to engage and inspire team forward.
- Ability to drive innovation via thought leadership while maintaining end-to-end view.
- Effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators.
- Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances.
Education: - Advanced quantitative degree in statistics, econometrics, or a related field,
Job Family Group: Risk Management
Job Family: Risk Analytics, Modeling, and Validation
Time Type: Full time
Primary Location: Wilmington Delaware United States
Primary Location Full Time Salary Range: $156,160.00 - $234,240.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date: Sep 22, 2025
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.
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