Python Engineer Manager

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Python
• Tableau

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.