Company
American Modern Insurance Group
Location
Amelia Court House , United States

Purpose:

Uses data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

• Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
• Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
• Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
• Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
• Identify data & operational issues requiring specialized analytics attention, data scrubbing and modeling techniques.
• Document and communicate assumptions, results and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
• Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
• Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.
• Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
• Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.
• Under close supervision complete modeling projects and statistical analysis. Effectively communicate results to business partners. Participate in creation and discussion of best practices.

Technical Skills:

• Background in Statistical programming in R, Python, SAS, or related software. General programing and data knowledge including SQL.
• Familiarity with common statistical and machine learning techniques such as linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, Clustering techniques, and shrinkage techniques (including lasso regression).
• Experience with data wrangling, evaluating data quality, transforming and cleaning data as appropriate for analysis.

Education, Certifications & Designations:

Bachelor’s degree in Statistics and pursuing a Master’s degree in Statistics or Business Analytics, Master degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major