Senior Underwriting Innovation and Risk Data Analyst

Primerica•Duluth, GA

19h

About The Position

This role is responsible for leading advanced underwriting research and analytics to improve risk segmentation, underwriting performance, and strategic decision making across life insurance operations. The position partners closely with underwriting, actuarial, claims, and R&D teams to evaluate new data sources, develop and validate predictive models, and translate complex analytical findings into actionable business recommendations. The role drives cross functional analytical initiatives, supports underwriting innovation, and regularly presents insights and performance results to senior leadership.

Requirements

3–5+ years of experience in analytics‑focused roles; Strong experience with life or health insurance experience.
Proficiency in SQL, database management tools, PowerBI, and advanced MS Office
Bachelor’s degree required; Master’s degree in Data Science, Statistics, Actuarial Science, or related field preferred
Programming experience in Python, R, and/or Palantir Foundry preferred
Strong background in quantitative analysis, data mining, and risk assessment
Experience conducting actuarial, underwriting, or insurance‑related studies strongly preferred
Progress toward actuarial exams or data science certifications is a plus
Strong strategic thinking, problem‑solving, and communication skills with the ability to operate effectively in ambiguous environments

Nice To Haves

Any of the following underwriting designations: LOMA/FLMI, FALU, CLU, or equivalent.
Solid experience in underwriting highly preferred.

Responsibilities

Research and evaluate internal and external data sources to enhance underwriting risk assessment and segmentation
Support the development, testing, and validation of predictive underwriting models and tools
Conduct mortality, morbidity, experience, and A/E studies to assess underwriting methodologies and outcomes
Perform cost‑benefit, validation, and impact analyses related to underwriting rules, requirements, and workflows
Translate complex statistical, actuarial, and analytical results into clear, strategic recommendations
Identify underwriting practices impacting mortality experience and recommend improvements
Design and maintain dashboards, reports, and executive‑level presentations tracking underwriting performance and model results
Lead cross‑functional analytic projects aligned with R&D and underwriting innovation initiatives
Regularly present insights and findings to senior leadership and key stakeholders