Resident Actuarial Engineer Manager at Kemper overseeing data-driven pricing strategies and actuarial engineering development. Collaborating with teams to enhance data workflows and analyses for insurance products.
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.
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.
Benefits
Qualify for your choice of health and dental plans within your first month.
Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.
Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.
Contribute to your community through United Way and volunteer programs.
Balance your life with generous paid time off and business casual dress.
Get employee discounts for shopping, dining and travel through Kemper Perks.
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