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Officer- CCAR/PPNR Model Developer

https://www.citi.com/ Logo

Citi

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Location:
India, Mumbai

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Category:
Finance

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This position is part of FP&A Model Development team which is responsible for developing time-series models to project balance sheets and income statements for different products/businesses/geographies within the firm, supporting CCAR and QMMF processes. Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission ensuring institutions have robust, forward-looking capital planning processes accounting for their unique risks.

Job Responsibility:

  • development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes, including the calculation of Net Interest Income (NII), Non-Interest Revenue (NIR), Interest Rate Exposure (IRE), and other associated risk metrics
  • developing Champion and Challenger models using different forecasting methodologies to comply with SR 15-18 guidance
  • development of Benchmark models using industry data series to meet regulatory requirements
  • manage the model life-cycle from first-line of defense perspective and participate in segmentation, risk identification, overlay discussions with Businesses and Finance teams
  • responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback
  • contribute to stakeholder conversations with Businesses, Finance, Treasury, and Risk to seek their sign-offs on Champion models

Requirements:

  • 2-4 years of relevant statistical/business experience in financial services
  • strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression, and Cointegration
  • understanding of Machine learning algorithms will be a plus
  • hands-on experience in programming and modeling using SAS, Python and R is preferred
  • follow a culture of accountability and strict quality control of the data integrity and modeling process
  • ability to build key relationships with finance and business teams
  • must be able to present technical matters in a way that is meaningful to the audience

Nice to have:

understanding of Machine learning algorithms

What we offer:

best-in-class global benefits to support well-being, living well, and saving well

Additional Information:

Job Posted:
May 23, 2025

Work Type:
On-site work
Job Link Share:
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