Job Openings >> Statistical Modeling Manager
Statistical Modeling Manager
Summary
Title:Statistical Modeling Manager
ID:1251
Department:Risk Management
Location:N/A
Description

job summary

The Manager, Statistical Modeling will use strong econometric modeling abilities and in-depth knowledge of mortgage credit to develop proprietary mortgage credit models and to support other quantitative initiatives. Models will be applied to estimate default, prepayment, and severity and will be used to develop macroeconomic simulations. Cash flow valuation of both primary mortgage insurance policies and structured mortgage insurance policies are also within the position’s scope of analysis.


ESSENTIAL JOB DUTIES & RESPONSIBILITIES

  • Design, estimate, implement, test, and document behavioral econometric and financial models for use in forecasting loan level defaults, prepayments, and loss severities.
  • Scrub, manipulate, and evaluate extensive varied data collected from multiple sources.
  • Analyze and make recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk, as appropriate and necessary.
  • Create and deliver business-oriented communications for internal and external constituencies of varied backgrounds, both technical and non-technical.
  • Establish/Collaborate in developing loan level user tools in support of front-end decision-making and evaluation.
  • Monitor, on an on-going basis, National MI’s portfolio.
  • Supervise modeling projects, and internal and external staff, as applicable.
  • Perform ad hoc responsibilities, as needed.


ESSENTIAL Competencies

  • Bachelor’s degree in quantitative field or the equivalent work experience. Master’s degree in quantitative field preferred, but not required.
  • Strong understanding of mortgage delinquency, default, and prepayment modeling.
  • Prior project management experience a plus.
  • Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based upon sound business judgment.
  • Expert in SAS or other statistical software.
  • Proficient in Excel (e.g., macros, pivot tables, etc.) and Access for data analysis.
  • Excellent written and verbal skills, including ability to effectively summarize and communicate relevant findings and other information to both technical and non-technical audiences.
  • Must have precise attention to detail.
  • Able to work autonomously and multi-task.
  • Able to work in a team environment.
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