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Python Engineer Manager; Actuarial

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Kemper Corporation
Full Time position
Listed on 2025-11-27
Job specializations:
  • Software Development
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Python Engineer Manager (Actuarial)
Actuarial Engineer Manager page is loaded## Actuarial Engineer Manager locations:
Alpharetta, Georgia:
Remote-CTtime type:
Full time posted on:
Posted Todayjob requisition :
R-Location(s)
Alpharetta, Georgia, Remote-CT
** Details
* *** Details
* ** Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs.

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.
*** 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 pricing strategies for personal and commercial auto insurance products, ensuring the accurate, actionable use of data to drive our business forward.
** Responsibilities**
* ** Leadership:
** Lead a team of engineers, fostering a culture of innovation, collaboration and professional growth while delivery of high-quality analyses. Oversee the development of scalable data solutions, ensuring data accuracy, availability, and integrity, and implement cloud-based strategies tailored to actuarial needs.
* ** Actuarial Solution Development:
** Develop and maintain a suite of actuarial capabilities, inclusive of processes for portfolio re-rating to better understand the impact of proposed changes and expected performance. Develop solutions using Python in a cloud-based ecosystem.
* ** Actuarial Data Support:
** Collaborate with the actuarial team to provide solutions for pricing through advanced analytics and automation tools, ensuring alignment with actuarial methodologies and business requirements. Work closely with data solutions teams to ensure that data is structured for consumption by the actuarial team and that actuarial data requirements are fully articulated. Ensures that data is ingested into the actuarial ecosystem in a governed and controlled fashion.
* ** Innovation and Optimization:
** Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify and resolve inefficiencies in current operations to enhance team productivity.  Develop scalable programming solutions, and implement data strategies that align with organizational objectives and key performance indicators (KPIs). Automate and streamline processes to improve efficiency and accuracy.
* ** Data Governance & Compliance:
** Establish and enforce data governance protocols to ensure compliance with regulatory standards, safeguard data security and maintain accuracy and integrity by adhering to industry and actuarial best practices.
* *
* Collaboration:

** Work closely with the actuarial team to align data and pricing strategies with business objectives.  Recognizing potential system opportunities or issues during data analysis and communicating them to business technology partners as needed. Provide training and support to team members and stakeholders to understanding and adoption of pricing technologies.
** Qualifications
* ** Bachelor’s degree in Computer Science, Data Engineering, Data Analytics or a related field.
* 5+ years of experience in solution or data engineering, data analysis or a similar role Proven experience in managing technical team and mentoring.
* 3+ years experience in Python development, with experience creating python-based applications utilizing clean code techniques.
* SAS proficiency is a plus
* Test-driven development experience is a plus
*…
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