Perform hands-on predictive modeling and in-depth analysis to guide and support strategic business decisions.
Organize, analyze and execute all phases of quantitative research and machine learning projects, from identifying the business problem to data exploration and modeling.
Projects might include performing financial and business modeling, evaluating the business implications of strategic initiatives, servicing model changes and enhancements, and/or evaluating changes in the market or regulatory environment.
Develop and apply complex predictive models using multiple statistical and machine learning techniques, as well as develop new tools and methods to enhance model results.

Bachelor’s Degree in Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, or a quantitative Business discipline; Master’s preferred.
Minimum of two years relevant experience in Modeling/Statistics/Actuarial Analysis/Finance/Operations preferably within the Property and Casualty environment.
Solid working knowledge of statistical modeling techniques such as linear regression, generalized linear models, data visualization, tree-based models, cluster analysis, principal components and feature creation.
Solid working knowledge of R and/or Python statistical and machine learning tools and/or other relevant packages for data management and statistical analysis.
Experience with SAS and/or SQL a plus.
Solid working knowledge of the P&C industry, including financial statements.
Ability to utilize the full spectrum of analytical techniques (predictive modeling, simulation, linear programming, cluster analysis, forecasting, etc.) to answer financial, strategic, and operational business questions.
Ability to communicate findings and implications of quantitative studies and analysis with confidence to all levels.
Excellent communication, negotiation, interpersonal and organizational skills.
Ability to analyze, define and solve problems; the use of good judgment and decision-making.
CPCU designation or completion of actuarial exams preferred.

Predictive Modeler, Data Scientist

Key skills