Python Engineer Manager (Actuarial)

Kemper is one of the nation’s leading specialized insurers, and they are seeking a highly skilled Resident Actuarial Engineer Manager to integrate solution development and data engineering practices within actuarial processes. The role involves overseeing the development and implementation of data-driven pricing strategies for personal and commercial auto insurance products, ensuring collaboration with the actuarial team and driving data governance.

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. Ensures 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. Recognizing potential system opportunities or issues during data analysis and communicating them to business technology partners as needed. Provide training and support to team members and stakeholders to understanding and adoption of pricing technologies

Preferred

SAS proficiency is a plus

Test-driven development experience is a plus

Experience with Amazon SageMaker is a plus

SAS proficiency

Test-driven development

Amazon SageMaker

Benefits

Medical

Dental

Vision

PTO

401k

Company

Specialized auto and life insurer for individuals and businesses

Chicago, Illinois, USA

http://kemper.com/

Founded in 1990

5001-10000 employees

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

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

SAS proficiency is a plus

Test-driven development experience is a plus

Experience with Amazon SageMaker is a plus

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.

Required skills

Python, Data Engineering, Data Analysis, SAS, Test-driven development, Amazon SageMaker, AWS, Azure, Google Cloud, Data visualization, Tableau, Power BI, Actuarial principles

Preferred skills

SAS proficiency is a plus, Test-driven development experience is a plus, Experience with Amazon SageMaker is a plus

Experience

5+ years