Senior Analyst, Model Validation in Charlotte, North Carolina
Posted 01/19/22


  • Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
  • Named one of the top three fastest-growing banking brands in the U.S. in 2020.
  • Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
  • Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.



  • Fast paced, highly collaborative, teamwork-oriented environment
  • Make an immediate impact in this high visibility role
  • Base salary of $100 - 125k with bonus potential and excellent benefits package
  • Top-notch leadership committed to developing people



  • Validate the performance and controls of quantitative models
  • Identify risks and provide recommendations to mitigate those risks
  • Document and present findings to the Model Validation leader and Senior management
  • Develop and maintain effective partnerships with participants / stakeholders within the model risk management community
  • Promote knowledge sharing with other analysts in MRM
  • Provide thought leadership to advance model risk management through presentations, workshops, demonstrations, documentation, and automation



  • 3 - 5 years in banking / financial services industry
  • Master's degree in economics, mathematics, finance, statistics, risk management, computer science, or any related field is required
  • Familiarity with market risk, credit risk (underwriting, CECL loss reserving, portfolio management), operational risk measurement, and stress testing methodologies / quantitative analytics
  • Strong familiarity with regulatory guidance in the model space (i.e. SR 11-7)
  • Knowledge of applied statistics such as Regression Analysis, Bayesian Statistics, Importance Sampling, etc
  • Ability to assess model conceptual soundness, inherent weaknesses, performance, and controls
  • Ability to challenge model frameworks through benchmark/challenger model development using advanced modeling techniques
  • Advanced knowledge of a statistical programming package is required
  • Intermediate knowledge of SAS, R, SQL, Python/PySpark, and/or Matlab is highly desired

  • Employee Type: Direct Hire
  • Location: Charlotte, North Carolina
  • Category: Accounting and Finance
  • Date Posted: 01/19/22
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Apply Today!

Apply Today!

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