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Model Validation Senior Analyst

  • Location

    Los Angeles

  • Sector:

    Financial Services and Banking

  • Job type:


  • Contact:

    Matt Lang

  • Contact email:

  • Salary high:


  • Salary low:


  • Published:

    7 months ago

  • Expiry date:


  • Startdate:


A banking client in Los Angeles is looking for a model validation professional to join its Model Risk Management team. In this role, this individual will be expected to lead the effort to perform independent validations on statistical and financial models across different business-area models.


  • Complete procedures of material model components including:
    • Assess and test the conceptual soundness
    • Evaluate model assumptions and data integrity for accuracy and reasonability
    • Test model numerical, statistical, and/or computational accuracy
    • Perform outcomes analysis including but not limited to back-testing, scenario testing, and sensitivity testing
    • Review model governance and control process; and assess the suitability and implementation of vendor models
    • Build benchmark or challenge models when necessary, using the best-practice approach in the appropriate areas
  • Write and present in-depth model validation reports and provide value-added recommendations to model owners and developers
  • Assess and test model performance and maintenance, i.e. correct implementation, limiting behaving, and response to stress/extreme input condition-stress testing
  • Interprets model validation test results and establish and assess the required action plans with model owners and developers
  • Gain in-depth understanding of the available data sources and help build an effective data governance framework


  • 4-10 years' worth of experience with model validation or development 
  • Prior experience developing/validating of the following (2 or more preferred):
    • Quantitative Risk Management (QRM)
    • CoStar Compass
    • Moody’s RiskCalc (or other Moody’s models such as Impairment Studio, GCorr, ECCL)
    • Anti-Money Laundering Models
    • CECL Models
    • Enterprise Stress Testing models
  • Experience in designing tests, model outcomes analysis, scenario analysis, sensitivity analysis, and back-testing
  • Knowledge of model risk management and associated regulatory requirements such as SR11-7/OCC2011-12 and ideally proficient in SAS, R, Python, VBA, SQL programming

If this opportunity interest you, please get in touch to epxlore further!