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How will you make an impact?:

  • Work amongst a team of quantitative risk analysts that operate the company’s most advanced statistical models
  • Participate in implementation, validation, assessment, monitoring process of multiple stochastic and statistical models for mortgage insurance forecasting
  • Assist manage, maintain and improve risk tools and analytical framework
  • Access large mortgage and MI data, utilize multiple statistical and machine learning techniques to improve modeling process and provide data-driven solutions
  • Develop advanced dashboards and standardized reports to provide insights
  • Perform modeling, data analytics, data visualization and programming in R or Python, SAS, and VBA.
  • Learn how we model, price and deal with financial risks.
  • Grow professionally through a supportive environment where you will be mentored

Do you have what it takes?:  

  • Graduate or undergraduate student with a junior or senior standing
  • Preferred major in Data Science, Computer Science or Financial Engineering
  • Working knowledge of either R or Python
  • Experience building data visualization dashboards like R-Shiny or Tableau
  • Experience with Microsoft Excel
  • Exposure to data query and statistical tools/languages such as SAS, SQL, or similar
  • Finance and Stats knowledge a plus but not required