Actuarial Data Engineering Manager - Python & Cloud
Kemper
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Benefits offered by this job
Job summary
Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate data engineering with actuarial processes and pricing strategies. You will lead the development and deployment of data-driven pricing tools for personal and commercial auto lines, ensuring data accuracy and governance in a cloud-based ecosystem.
The role emphasizes collaboration with the actuarial team, scalable programming, and advanced analytics to drive business decisions.
Qualifications
- 5+ years of experience in solution or data engineering or related roles.
- 3+ years experience in Python development with clean code practices.
- Experience with cloud platforms (AWS/Azure/Google Cloud).
- Knowledge of data ingestion patterns and data manipulation techniques.
- Experience in actuarial or data analytics in insurance is a plus.
Responsibilities
- Lead a team of engineers and develop scalable data solutions.
- Develop actuarial capabilities and portfolio re-rating approaches in a cloud ecosystem.
- Collaborate with actuarial teams to support pricing with advanced analytics.
- Drive automation and optimization of data workflows to improve efficiency.
- Establish data governance and compliance for regulatory standards.
- Collaborate with business technology partners to translate pricing needs into solutions.
Skills
Education
Tools
Job description
Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate data engineering with actuarial processes and pricing strategies. You will lead the development and deployment of data-driven pricing tools for personal and commercial auto lines, ensuring data accuracy and governance in a cloud-based ecosystem.
The role emphasizes collaboration with the actuarial team, scalable programming, and advanced analytics to drive business decisions.
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