Retail Actuarial Data Engineer

Talcott Financial Group•Hartford, CT

23h•$100,000 - $130,000•Hybrid

About The Position

Talcott Financial Group is an international life insurance group and the industry’s trusted partner for comprehensive risk solutions. Talcott creatively designs and expertly delivers responsive solutions that transfer risk and manage capital in a way that supports the strategic needs of insurers today and into the future. Talcott Financial Group has a proven track record of well-executed transactions, and the enterprise benefits from its strong financial position with over $127 billion in assets under management, its investment-grade financial strength ratings, and its partnership with Sixth Street, a leading global investment firm. Talcott Financial Group’s two core business platforms include: U.S. based Talcott Resolution and Bermuda and Cayman based Talcott Re. We are seeking a Retail Actuarial Data Engineer to join our Actuarial Data function. This person will lead the data governance and continuous improvement of a modern Actuarial Data platform supporting Retail reporting and analytics. Responsible for managing data quality, stability and usability of Retail data for modeling, valuation, and other downstream processes as the Retail business scales. The selected candidate will work in a hybrid in-office arrangement out of one of our office locations in Hartford, CT., or Charlotte, N.C.

Requirements

Bachelor’s degree in a quantitative field
Minimum of 3 years of relevant experience in actuarial data, data engineering, data science, or related fields within the insurance industry
Strong proficiency with SQL and relational database concepts; familiarity with data engineering tools and ETL concepts; comfortable building complex queries and procedures
Experience using AI tools and models in various work applications and contexts
Familiarity with actuarial processes and the types of data used in actuarial modeling, valuation, and experience studies (e.g., policyholder data, transaction data, input/output data)
Ability to work independently and collaboratively in a fast-paced, technical environment; Excellent problem-solving and communication skills

Nice To Haves

Experience with scripting languages (e.g., Python/PySpark) or data visualization tools (e.g., Power BI) is preferred
Actuarial exams or studies a plus

Responsibilities

Act as a liaison between Actuarial and other functions like IT, Finance, and Operations, ensure communication and alignment across multiple forums
Oversee the full Retail data lifecycle across source admin systems → Retail Datalake → Actuarial Retail Lakehouses → business user destinations
Gather and define business and technical requirements for additional enhancements to our suite of products as well as high value capabilities on Retail’s strategic business plan
Maintain an understanding of overall architecture and own the evolution of the Retail Actuarial Data Platform, driving improvements in scalability, reliability, and usability for business-critical processes
Monitor daily data quality to promote complete and accurate data for various reporting purposes while proactively communicating any failures and resolutions to stakeholders
Escalate and prioritize data defects and enhancements as they arise
Enhance control frameworks and implement review processes in an efficient and automated manner
Shape how Retail Actuarial data is governed, validated, and delivered to enable faster actuarial analysis and decision-making