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Model/ Analysis / Validation Officer

https://www.citi.com/ Logo

Citi

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Location:
United States , New York

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Category:
Finance

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Contract Type:
Not provided

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Salary:

147250.00 - 250000.00 USD / Year
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Job Description:

Citibank, N.A. seeks a Model/ Analysis / Validation Officer for its New York, New York location. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Job Responsibility:

  • Develop, enhance, and validate the methods of measuring and analyzing Pre-Provision Net Revenue (PPNR)
  • Identify relevant data sources and variables related to PPNR
  • Conduct statistical analysis for PPNR and data modeling and validation to provide support in the model methodology enhancement and documentation of stress testing
  • Perform back testing and stress testing to validate accurate and robustness of models
  • Apply quantitative and qualitative data analysis methods and programming language to extract, transform, and analyze data
  • Analyze and interpret data reports, and make recommendations that address business needs
  • Define and recommend model specifications and data collection methods
  • Perform exploratory data analysis to identify patterns and relationships within data, which involves using visualization techniques to identify correlations, outliers, and trends in data using programming languages, including SAS, Python and R
  • Apply machine-learning algorithms to extract insight and make data predictions

Requirements:

  • Master’s degree, or foreign equivalent, in Finance, Statistics, Mathematics, Economics, Quantitative Economics, or related field
  • 1 year of experience as a Model/Analysis/Validation Senior Analyst, Quantitative Analyst, or a related position involving model performance analysis, validation, and development for a global financial services institution
  • 1 year of experience must include: Development, enhancement and validation of econometric and statistical models
  • Testing performance of statistical models to improve performance and predictive accuracy
  • Scenario analysis of models and performance assessment under varying macroeconomic scenarios prescribed by regulators
  • Coding models and analytical tools using SAS, R and Python
  • Extracting, transforming and analyzing data by applying quantitative and qualitative data analysis methods, including data wrangling, exploratory data analysis and machine-learning algorithms
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
March 21, 2026

Expiration:
March 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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