CCAR Unsecured Model Development Intmd Analyst

Citigroup Inc.; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading financial services company is seeking a candidate to develop CCAR/CECL models for unsecured portfolios. Responsibilities include conducting QA/QC on data, developing stress loss models, and collaborating with cross-functional teams. The ideal candidate will have an advanced degree and 5+ years of quantitative analysis experience, alongside skills in statistical modeling and communication. This position operates in a dynamic environment with a focus on analytical rigor.

Qualifications

• 5+ years’ experience in performing quantitative analysis and statistical modeling.
• Experience with dynamics of unsecured products is a strong plus.
• Ability to communicate technical information to diverse audiences.

Responsibilities

• Conduct QA/QC on all data required for model development.
• Develop CCAR/CECL stress loss models.
• Prepare responses to regulatory agencies on models built.

Skills

Quantitative analysis

Statistical modeling

Loan loss reserve modeling

Econometric modeling

Communication skills

SAS

SQL

Oracle

Microsoft Office

Education

Advanced Degree (Bachelors required, Masters/PhD preferred) in a quantitative discipline

Tools

SAS

SQL

Oracle

Microsoft Excel

Microsoft PowerPoint

Job description

Overview

This position within USPB Risk will develop CCAR/CECL models for unsecured portfolios (e.g., credit cards, installment loans, etc.).

Responsibilities

• Obtain and conduct QA/QC on all data required for CCAR/CECL model development
• Develop segment and/or account level CCAR/CECL stress loss models
• Perform all required tests (e.g., sensitivity and back-testing)
• Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
• Deliver comprehensive model documentation
• Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
• Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Qualifications

• Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
• 5+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan lossreserve modeling, and particularly econometric modeling of consumer credit risk stress losses
• Experience with dynamics of unsecured products is a strong plus
• Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
• Exposure to various stress loss modeling approaches at the segment or account level preferred
• Able to communicate technical information verbally and in writing to both technical and non-technical audiences
• Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
• Work as an individual contributor

Note: Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.