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Balance Sheet Management Modeling – AVP

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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:

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Job Description:

The Balance Sheet Management Sr. Analyst is a seasoned professional role responsible for developing statistical and non-statistical methodologies for balance sheet management. This team plays an important role in overall balance sheet management and has direct impact on Citigroup's Capital. The models and tools are built using standard sophisticated modeling techniques used across industry which helps in better Interest rate risk management for the firm.

Job Responsibility:

  • End-to-end development and governance and support of models in treasury/IRRBB space
  • End-to-End model development includes econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes
  • Calculation of Net Interest Income (NII), Non-Interest Revenue (NIR), Interest Rate Exposure (IRE), Economic Value Sensitivity (EVS), and other associated interest rate risk metrics
  • Model governance and support includes reviewing and timely submission of model documentations such as Model development document (MDDs), Annual Model Review (AMRs), Ongoing Performance Assessment (OPAs), Model Change Addendum (MCAs), Limitation Record Change (LRCs) to Model Risk Management
  • Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation
  • Present technical matters in a way that is meaningful to the audience and align with Model Risk Management on modeling and validation practices
  • Build key relationships with finance and business teams
  • Create a culture of accountability and strict quality control of the data integrity and modeling processes

Requirements:

  • 6-8 years of relevant statistical modeling /econometrics experience in financial domain
  • PG / Masters / PhD in quantitative discipline such as Statistics, Economics, Mathematics, or related discipline is preferred
  • Experience in developing econometric models and deep understanding of statistical techniques such as Linear Regression, Logistic Regression, Time Series, Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration and Machine Learning Techniques
  • Working experience with Artificial Intelligence/Machine Learning techniques and packages (ChatGPT, Copilot)
  • Hands-on experience in programming and modeling using Python and related packages (GitHub, DataFlame) is must
  • Experience with SQL and databases
  • Domain knowledge and experience in PPNR, Fixed Income Securities, Mortgage Modeling, Deposit Modeling, Asset Liability Management, Interest Rate Risk, Capital Planning
  • Broad understanding of financial products, accounting principles, investment, accrual products and corporate finance concepts
  • Excellent presentation skills
  • Ability to build key cross functional and cross business relationships
  • Team management skills and ability to managing multiple projects and deadlines

Nice to have:

  • Certifications such as FRM, CFA is a plus
  • Working knowledge of statistical packages like SAS/R is a plus
  • Experience in excel VBA is plus

Additional Information:

Job Posted:
September 27, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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