Forecasting Analytics and Model Control

  • Competitive Base & Bonus USD
  • Washington D.C., DC, USA Washington D.C. DC US
  • Permanent, Full time
  • Ashton Lane Group
  • 17 Sep 18 2018-09-17

Coordinate firm-wide stress testing within the risk management team


  • Lead a team in the validation of loss forecasting, stress testing and Basel-related models that are used to measure risk and calculate capital requirements
  • Understand business processes and portfolios associated with model use, and the nature of model use within those processes
  • Assess the methodologies and processes used by modeling teams to develop and manage their models, and identifying potential weaknesses and the associated materiality of the risk
  • Develop project plans, setting and managing expectations, and delivering results through self and/or others
  • Benchmark model methodologies and performance by specifying and managing the development of alternative models
  • Analyze complex data to determine correlations and data integrity issues
  • Research industry practices related to model methodologies
  • Document validation processes and results
  • Communicate validation work to management, model owners, regulators, and auditors
  • Leverage education, colleagues and training opportunities to develop solutions to business problems
  • Assist with building the validation group, through contributions to hiring, training, and developing infrastructure such as processes and templates


  • 7+ years’ experience within consumer or commercial risk, regulatory, or capital related role
  • Broad knowledge of risk scoring and forecasting models
  • Excellent organizational skill with proven experience in a highly detail oriented environment
  • Solid verbal and written communication skills with excellent relationship building experience
  • Master’s degree in Statistics, Economics, Financial Engineering, Operational Research, Physics or Mathematics. PhD preferred.

For immediate consideration, please forward resume and contact details to:

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