Actuarial Data Engineer
| Company | Kemper |
|---|---|
| Location | Alpharetta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Analytics or a related field.
- 3+ years of experience in solution or data engineering, data analysis or a similar role.
- Familiarity with actuarial principles, insurance data structures, regulatory requirements and reporting standards.
- 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 an engineering role supporting advanced analytics.
- 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 contributing to large-scale data-driven/analytic projects.
Responsibilities
- 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 data 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.
- Contribute to the adoption of advanced analytics to improve actuarial processes, optimize data workflows, and identify and resolve inefficiencies in current operations. 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.
- Support the establishment and adherence to data governance protocols to ensure compliance with regulatory standards. Safeguard data security and maintain accuracy and integrity by following 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 support to team members and stakeholders to enhance 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