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Senior Quantitative Modeling Analyst
NPAworldwide Recruitment Network
NPAworldwide Recruitment Network
How to Apply:

Job Location: Chicago, IL

Job #: 8220
Title: Senior Quantitative Modeling Analyst
Job Location: Chicago, Illinois - United States
Employment Type:
Salary: $110,000.00 - $190,000.00 - US Dollars - Yearly
Employer Will Recruit From: Nationwide
Relocation Paid?: Yes


Senior Quantitative Modeling Analyst Summary

The Dodd-Frank Act Stress Testing (DFAST) Quantitative Modeling Analyst is responsible for developing and overseeing DFAST models for the loan portfolio and various other financial statement line items using statistical and econometric methods. This individual will work across the client bank as needed with the Finance, Treasury and ALM teams in addition to many others.


Essential Duties & Responsibilities Senior Quantitative Modeling Analyst

  1. Perform routine analysis for model performance monitoring and model review as well as maintain current model inventory for model validation and audit compliance
  2. Obtain and conduct data analysis required for stress testing model development
  3. Utilize quantitative skills to analyze and summarize data, formulate findings, and provide recommendations
  4. Develop and execute primary and benchmark DFAST stress test econometric models for credit risk and PPNR
  5. Perform all required tests and measures of developed models (e.g., goodness of fit, sensitivity, forecasting accuracy, volatility)
  6. Maintain and recommend enhancements to modeling methodology, processes and documentation
  7. Deliver comprehensive model documentation (e.g., Model Data Documentation, Model Development
  8. Documents, Model Procedural Documentation, Model Approval Packages, Technical Review Documents)
  9. Assist others with conducting business research by gathering data, identifying options, and creating detailed analyses

Skills Senior Quantitative Modeling Analyst

  1. Professional certificate or graduate degree required
  2. 5 or more years knowledge in function
  3. 6 or more years experience in industry
  4. CFA, CPA, or FRM
  5. Robust knowledge of credit modeling practices, data requirements and statistical estimation methodologies as used within top down and loan-level modeling (PD/LGD/EAD) settings
  6. Understanding of a financial services institutions financial statements, forecasting, income simulation, financial ratios and key metrics in evaluating performance and capital position
  7. Familiarity with industry or vendor data sources including Moodys, CoStar, Trepp and other sources
  8. Proficiency in multivariate regression modeling, logistic regression modeling, time series modeling as well as other programing and data analyses
  9. Proficient with statistical software packages including R, SAS and/or Stata and programming experience in working with large data sets. Proficiency in Microsoft Office applications
  10. Excellent verbal and written communication skills; strong organizational skills; must be able to explain complex and technical matters clearly, accurately, and concisely

University - Bachelor`s Degree/3-4 Year Degree

How to Apply:

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