Model Risk Analyst

Model Risk Analyst (SAS Model Risk Management)

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  Are you ready to explore a world of possibilities?

  Join our my clients family, and you’ll grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.

  About this Opportunity

  We are looking for a Model Risk Analyst to join the Model Validation and Control group ("MVC"), which is responsible for all aspects of Model Risk Management ("MRM") at my clients from model risk governance and control, independent model validation to model performance monitoring ("MPM") and back testing ("BT"). Model Risk Analyst will support the model risk governance process and will be involved in the model identification process and model inventory management.

  Your Responsibilities:

  • Prepare and analyze model risk reporting and data for senior management and regulators
  • Support Model risk management tool implementation efforts, including participation in User Acceptance Testing
  • Conduct model identification activities that includes administration of the model survey, analysis of the survey responses, collection and documentation of effective challenge from SME, and collation of results and attestations.
  • Works closely with relevant stakeholders to understand all aspects of the workflow processes managed for model validation, model performance monitoring, and model issue management.
  • Create periodic reporting of model risk metrics or initiatives
  • Organize materials for the Model Risk Governance Council (“MRGC”)
  • Assist with ad hoc model risk analyses and reporting as needed
  • Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately

  Additional Qualifications:

  • Must have excellent interpersonal skills and can work in an efficient and organized way.
  • Ability to work independently and under pressure.
  • Prior experience with quantitative modeling is not required but should have a general knowledge of financial markets and products, risk metrics and VaR.
  • Ideally the incumbent should be familiar with the regulatory requirements in terms of model risk management (SR 11-7) and SEC Covered Clearing Agency Standards.
  • Knowledge of programming languages such as Python, SAS, VBA, etc. would be advantageous but is not required.

  Talents Needed for Success:

  • 1-3 years of financial services industry experience, ideally in model risk governance, model risk audit, risk management or analytics
  • A Bachelor’s degree in a related field, preferably in statistics, computer science, economics or finance
  • Excellent communication skills, both oral and written.

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