Python Engineering Manager, Actuarial Data Solutions

Kemper Corporation; Downers Grove (IL); On-site; USD 99,000 - 165,000; Full time

Benefits offered by this job

401(k) match

Tuition assistance

Health, dental, vision

Job summary

Kemper Corporation is seeking a Resident Actuarial Engineer Manager to lead data-driven pricing initiatives for auto insurance, bridging actuarial science with scalable engineering. You will guide cloud-based data solutions, governance, and analytics to support informed pricing decisions.

Ideal candidates will have extensive Python development, cloud experience, and actuarial data knowledge, with demonstrated leadership and collaboration across teams.

Qualifications

• Bachelor's degree required in CS/Data field.
• 5+ years in solution or data engineering; leadership experience.
• 3+ years Python development; clean code practices.
• Experience with cloud platforms and data visualization tools.
• Actuarial data knowledge and regulatory awareness.

Responsibilities

• Lead a team of engineers and drive high-quality analyses.
• Develop scalable data solutions and cloud strategies.
• Develop actuarial capabilities for portfolio re-rating.
• Collaborate with actuarial team on pricing through analytics.
• Ensure data governance and data ingestion into the actuarial ecosystem.
• Automate processes to improve efficiency.
• Provide training to team members and stakeholders.

Skills

Python development

Data engineering

Leadership

Analytics

Cloud platforms

Communication skills

Actuarial knowledge

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Analytics or related field

Tools

SAS

Amazon SageMaker

Tableau

Power BI

AWS / Azure / Google Cloud

Job description

Kemper Corporation is seeking a Resident Actuarial Engineer Manager to lead data-driven pricing initiatives for auto insurance, bridging actuarial science with scalable engineering. You will guide cloud-based data solutions, governance, and analytics to support informed pricing decisions.

Ideal candidates will have extensive Python development, cloud experience, and actuarial data knowledge, with demonstrated leadership and collaboration across teams.