About
The Senior Actuarial Data Engineer will be responsible for designing, building, and scaling analytical data processes that power actuarial pricing, reserving, and claims analytics across a Property & Casualty insurance business. In addition to hands-on engineering, this role will lead the establishment of best practices for analytical process flow, helping define how data moves from raw inputs to trusted insights and identifying where AI-enabled capabilities can support automation in a responsible and scalable way. Work Arrangement
Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in-office days. Accountabilities
Actuarial Tool Development:
Design and develop internal tools and frameworks that streamline actuarial workflows and data preparation. Build scalable applications that provide standardized access to actuarial datasets Develop applications that integrate actuarial tools with cloud data platforms and analytics environments Partner closely with actuaries, data science and finance teams to enable tooling and data access for pricing, reserving, forecasting and other analytics Automation of Actuarial Processes:
Lead the definition and adoption of best practices for end-to-end analytical data process flow Document process standards, architectural patterns, and reusable frameworks to promote consistency and reduce duplication of effort Support experimentation with emerging AI capabilities in process flow design Embed data quality checks, reconciliation logic, and validation rules into analytical processes to support a high level of data governance and accuracy Ensure data solutions support high data volumes, complex transformations, and evolving analytical needs Technical Leadership:
Serve as a technical leader within the actuarial and analytics team Define standards for automation, tool development, and quality across analytical initiatives Partner with actuarial leadership to identify opportunities to modernize workflows Mentor junior teammates and contribute to a high-performance culture Qualifications
5 to 8 years of data engineering experience with cloud-based data environment experience preferred Strong proficiency in SQL, Python, or R Experience building automation tools or analytical frameworks Experience with modern data warehousing and ETL tools Strong problem-solving skills and attention to detail & data accuracy Experience working with P&C insurance data preferred Familiarity with actuarial data and concepts preferred Pay Range
Anticipated Pay Range: $115,500 - $160,000 annual base salary depending on experience, qualifications, and geographic location Benefits
Competitive base salary plus incentive plans for eligible team members 401(K) retirement plan that includes a company match of up to 6% of your eligible salary Free basic life and AD&D, long-term disability and short-term disability insurance Medical, dental and vision plans to meet your unique healthcare needs Wellness incentives Generous time off program that includes personal, holiday and volunteer paid time off Flexible work schedules and hybrid/remote options for eligible positions Educational assistance Equal Opportunity Employer
The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal Your Rights Under USERRA Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com. Employment Verification: The Mutual Group participates in the E-Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on your citizenship status and national origin. E-Verify Program Overview E-Verify Participation Poster All offers of employment are contingent upon the successful completion of a background check. #TMG
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Languages
- English
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