Python Engineer Manager
Position Summary
Kemper is seeking a Resident Actuarial Engineer Manager to lead the integration of solution development and data engineering practices within actuarial processes. The role involves overseeing the development of scalable data solutions, ensuring data accuracy, availability, and integrity, and implementing cloud-based strategies tailored to actuarial needs.
Position Responsibilities
Lead a team of engineers, fostering a culture of innovation, collaboration, and professional growth while delivering 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 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.
Collaborate 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 understand and adopt pricing technologies.
Position 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.
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.
Pay
The range for this position is $99,000 to $164,800. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors.
Benefits
This job is also eligible for our Kemper benefits package (Medical, Dental, Vision, PTO, 401k, etc.).