Actuarial Data Engineering Leader

Kemper

United States

Hybrid

USD 170,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Professional growth
Hybrid work arrangement

Job summary

Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate solution development and data engineering practices within actuarial processes. This role bridges actuarial science, solution development, and advanced data engineering, ensuring data-driven decision-making is enabled through an ecosystem of capabilities built in seamless collaboration with the actuarial team.

The ideal candidate will oversee the development, maintenance, and implementation of data-driven

Qualifications

  • Bachelor’s degree in computer science, data engineering or related field.
  • 5+ years leading data/solution engineering teams and mentoring.
  • 3+ years Python development with clean code practices.
  • Experience with cloud data ecosystems and actuarial data familiarity.

Responsibilities

  • Lead a team of engineers; drive scalable data solutions; implement cloud-based actuarial needs.
  • Develop and maintain actuarial capabilities for pricing using data analytics.
  • Collaborate with actuarial team to ensure governance and data availability for pricing.
  • Drive advanced analytics adoption and optimize data workflows for efficiency.

Skills

Leadership
Python
Data engineering
Cloud AWS
Tableau/Power BI
Actuarial knowledge
Mentoring

Education

Bachelor’s degree in Computer Science or related

Tools

Amazon SageMaker
Cloud platforms (AWS/Azure/Google)

Job description

Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate solution development and data engineering practices within actuarial processes. This role bridges actuarial science, solution development, and advanced data engineering, ensuring data-driven decision-making is enabled through an ecosystem of capabilities built in seamless collaboration with the actuarial team.

The ideal candidate will oversee the development, maintenance, and implementation of data-driven

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