Job Description
The candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team. As a key member of the team you will also play a role in advancing predictive modeling capabilities, enabling Arch to make better decisions.
- Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees
- Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection
- Develop Python or R functions and SQL stored procedures to automate recurring tasks
- Create and maintain documentation associated with models
- Assist in implementation and testing of models
- Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage
- Monitor the performance and usage of models
Qualifications
- At least 3 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL
- The ideal candidate will have experience working in the insurance industry
- Detail oriented with strong organizational skills
- Excellent critical thinking skills in order to tackle complex data challenges
- Comfortable working in a fast paced and highly collaborative global team
- Ability to effectively communicate technical topics to different target audiences
Technical Skills Proficiency Level Required (R) /Optional (O)
Predictive Modeling 4 R
R, Python or equivalent Stat Program 4 R
SQL Server or equivalent data mgt tool 3 R
Property & Casualty Insurance Experience 2 O
Microsoft Excel 2 R
Qlikview or Power BI 1 O
Additional Information
- BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent