Responsibilities:

• Use cutting-edge statistical techniques to stochastically model the underwriting
  performance of insurance programs for securitization
• Draw on a combination of statistics, actuarial, and business experience to formulate new
  statistical models to better forecast the future performance of insurance portfolios
• Backtest potential new software models in a robust, audited verifiable manner in
  production environments
• Document & organize work, including written & oral reports to key stakeholders, inside
  and outside of the organization
• May work with small teams of peers and/or subordinates on specific projects

Requirements:

• Masters in Data Science, Statistics, Actuarial Science, or similar quantitative field 
• 3 years experience as an Actuarial Associate and/or an Actuarial Consultant is required
• 3 years experience with actuarial science and/or data science demonstrating a progressive
  increase in the scope of responsibility 
• 3 years experience in Python and/or R programming 
• ACAS from Casualty Actuarial Soc or equivalent required