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Citi

Regulatory Risk Model Development, Intermediate Analyst

Citi

. Obtain and conduct QA/QC on all data required for CCAR/CECL model development .

Posted 5/12/2026full-timeGurgaon • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
OracleSQLUnix

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
  • 4+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
  • Experience with dynamics of unsecured or secured products a strong plus
  • Active role in performing some analytical components of an econometric modeling-driven stress loss process
  • 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

Benefits

Comp & perks
  • Citi is an equal opportunity employer
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
quantitative analysisstatistical modelingloss forecastingloan loss reserve modelingeconometric modelingstress loss modelingmodel validationmodel documentationdata analysismodel recalibration
Soft Skills
communicationcollaborationpresentation skillscross-functional teamworkanalytical thinkingproblem-solvingattention to detailadaptabilitytechnical writingstakeholder engagement