Statistical Modeler II - Model Validations

Summary Essential Job Functions 

• Serve as a key contributor and lead manager supporting independent model validation for various models (Credit, Fraud, Collections, Marketing, Finance, Loss Forecasting, Stress Testing, etc.).
• Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models.
• Producing high quality model validation reports, with a particular focus on noting limitations, weaknesses, and assumptions.
• Conducting self-study of developments in modelling and validation techniques, regulatory guidelines, as well as new analytical tools.
• Guide model owners through the model validation process, including assisting in confirming model versus tools and informing model owners of governance and validation efforts required.
• Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Credit One Bank functions.
• Support regulatory examinations and internal audits of the modeling process and selected models samples.
• Continuously drive better model risk management practices and add value to the business through more efficiency, stronger controls, better process, and strong partnership with model stakeholders.
• Perform other duties and/or special projects as assigned.

Position Requirements 

• Master’s degree or PhD Degree in Finance, Economics, Mathematics, Statistics, Quantitative Analysis, or another technical discipline.
• 5+ years of related experience at a Financial Institution or Consulting Firm in the areas of risk analysis, financial analysis, model validation, or model development
• Experience with Machine Learning / AI methodologies and related applications
• Excellent written and communication skills and ability to create and maintain quality model documentation.
• Ability to collaborate effectively and follow-up to ensure achievement of deadlines, outcomes, and results
• Effectively communicate model findings to model owners and developers
• Ability to work independently and self-motivate in a fast-paced and rapidly changing environment

Preferred  

• 5+ years of experience with Statistical tools like SAS, SQL, R or Python.
• In-depth theoretical understanding and utilizing modeling techniques supporting the following: Big Data Analytics, Machine Learning, and/or Decision Models (Behavior, Credit, Fraud, etc.)
• Previous experience in model development, model validation, predictive modelling, monitoring, or a good understanding of model risk and assessment
• Strong knowledge of Model Risk regulatory requirements (e. g. SR 11-7/OCC 2011-12)
• Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.