Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value; Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies; Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework; Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering
Requirements:
Bachelor’s degree in quantitative field is required, Master’s is preferred; 4 years of professional experience or equivalent relevant work experience preferred
Text:
Actuarial Data Scientist Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value; Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies; Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework; Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering Bachelor’s degree in quantitative field is required, Master’s is preferred; 4 years of professional experience or equivalent relevant work experience preferred
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
