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