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Model Validation 2nd LOD Sr. Analyst

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving

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Category:

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Contract Type:
Not provided

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Salary:

112200.00 - 121700.00 USD / Year

Job Description:

Citibank, N.A. seeks a Model Validation 2nd LOD Sr. Analyst for its Irving, TX 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 risk, for all risk types including market, credit and operational
  • Develop, validate, and strategize uses of scoring models and scoring model related policies
  • Conduct statistical analysis for credit risk and fraud related projects and data modeling/validation
  • Apply quantitative and qualitative data analysis methods including SAS programming, Python language, and Structured Query Language (SQL) to extract, transform, and analyze data
  • Prepare statistical and non-statistical data exploration, validate data, and identify data quality issues
  • Conduct data analysis, data mining, read and create formal statistical documentation, and work with Technology to address issues
  • Analyze and interpret data reports and make recommendations addressing business needs
  • Use predictive modeling methods, optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
  • Generate statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results
  • Validate assumptions and escalate identified risks and sensitive areas in methodology and process
  • Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations

Requirements:

  • Bachelor’s degree, or foreign equivalent, in Engineering (any), Statistics, Mathematics, Economics, or a related field
  • Five (5) years of experience in the job offered or in a related quantitative occupation developing, enhancing, and validating the methods of measuring and analyzing risk
  • Five (5) years of experience must include: Validating traditional statistical (linear regression models, logistic regression, classification and regression decision tree models), machine learning, and artificial intelligence models for consumer valuation models
  • Assessing model risk across the model life-cycle by performing statistical, data, and quantitative analysis for model development using analytical and business tools including advance excel, VBA codes, SAS/4GL, SQL, R, and Python
  • Providing effective challenge to the model development process, including identifying model limitations, including data and soundness issues, performance weaknesses, usage restrictions
  • Performing validation tests and diagnostic analyses to evaluate the soundness an performance of the developed models
  • Creating formal and detailed statistical documentation with supporting analyses, testing results, and rationales for key decisions and ensuring documentation meets regulatory guidelines and industry standards
  • In the alternative, employer will accept a Master’s degree and three (3) years of experience
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 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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