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Balance Sheet Management Modeling - VP

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Citi

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Location:
India , Mumbai

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Category:
Finance

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The Balance Sheet Management Sr. Analyst is a seasoned professional role responsible for the development of statistical models and tools used in IRRBB and treasury, applying in-depth knowledge in data processing, visualization, analysis tools, econometric forecasting, and Interest rate risk management. The role includes developing models for balance sheet management and is subject to heightened regulatory scrutiny. Responsibilities include model development, governance, analytical skills, stakeholder management, and team interactions.

Job Responsibility:

  • End-to-end development and governance and support of models in treasury/IRRBB space
  • End-to-End model development including econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes such as Net Interest Income, Non-Interest Revenue, Interest Rate Exposure, Economic Value Sensitivity, and others
  • Applies analytical thinking and knowledge of statistics/modeling/data analysis tools and methodologies
  • Reviewing and timely submission of model documentations to Model Risk Management and other stakeholders
  • Develop and maintain a comprehensive modeling system ensuring consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation
  • Present technical matters meaningfully to 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:

  • 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
  • Certifications such as FRM, CFA is a plus
  • 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
  • Hands-on experience in programming and modeling using Python and related packages
  • Working knowledge of statistical packages like SAS/R is a plus
  • Experience with SQL and databases
  • Experience in Excel VBA is a plus
  • 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
  • Demonstrated analytical skills including the ability to synthesize quantitative and qualitative data to draw conclusions and assist on decision making
  • Ability to build key cross functional and cross business relationships
  • Assume informal leadership roles within team
  • Team management skills and ability to manage multiple projects and deadlines

Nice to have:

  • Certifications such as FRM, CFA
  • Working knowledge of statistical packages like SAS/R
  • Experience in Excel VBA

Additional Information:

Job Posted:
November 12, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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