CCAR Secured Model Analyst II- C10

Citi

Citi

IT
Bengaluru, Karnataka, India · Gurugram, Haryana, India
Posted on Jul 29, 2025

The Position within Global Consumer Risk Management of Citi for CCAR/DFAST/CECL and other stress testing regulations for stress loss model development for the secured portfolios.
Core Responsibilities:
This position within Global Consumer Banking will develop CCAR/DFAST stress loss models for secured portfolios (e.g., Home Equity, Mortgage etc.). The responsibility includes but not limited to the following activities:

  • Obtain and conduct QA/QC on all data required for stress loss model development

  • Develop segment and/or account level 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 for regulatory agencies on all regulatory models built


Education:
Advanced Degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline.

Skillset

  • Role involves strong programming (SAS, R, Matlab etc) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc) skill.

  • 2-4 years analytic experience

  • Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses

  • Experience in model development or (risk/marketing)- credit scorecard development, Basel modeling, stress loss preferred or credit policy analytics

  • Experience in end-to-end modeling 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, & model production implementation)

  • Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences

  • Expected to work with moderate supervision and guidance

  • Work as an individual contributor

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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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.

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Other Relevant Skills

Credible Challenge, Laws and Regulations, Management Reporting, Referral and Escalation, Risk Remediation.

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