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Actuarial Engineer Manager
| Company | Kemper |
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| Location | Alpharetta, GA, USA |
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| Salary | $95900 – $159700 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- 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
- Experience with Amazon SageMaker is a plus
- Knowledge of data manipulation techniques and data ingestion patterns.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
- Proficiency working with data visualization tools such as Tableau and Power BI.
- Experience working in an actuarial or research field in a data engineering role supporting advanced analytics
- Familiarity with actuarial principles, insurance data structures, regulatory requirements and reporting standards.
- Strong analytical problem-solving and critical thinking skills with a results-oriented mindset.
- Excellent written and verbal communication skills with ability to translate business needs into technical solutions.
- Proven track record of delivering large-scale data-driven projects.
Responsibilities
- 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.
- 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.
- 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.
- Ensure that data is ingested into the actuarial ecosystem in a governed and controlled fashion.
- 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.
- 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.
- Work closely with the actuarial team to align data and pricing strategies with business objectives.
- Recognize potential system opportunities or issues during data analysis and communicate them to business technology partners as needed.
- Provide training and support to team members and stakeholders to understanding and adoption of pricing technologies.
Preferred Qualifications
- SAS proficiency is a plus
- Test-driven development experience is a plus
- Experience with Amazon SageMaker is a plus
