Underwriting & Risk Analyst

Primerica•Duluth, GA

About The Position

The Underwriting & Risk Analyst plays a key role in advancing underwriting research and development by applying quantitative analysis to evaluate risk and improve decision-making. This role conducts cost/benefit analyses and mortality studies to measure the financial impact of underwriting strategies and product designs. By integrating data-driven insights with innovative methodologies, the analyst helps refine risk selection, enhance pricing accuracy, and support sustainable growth. They will work closely with President, Chief Underwriter and Medical Director of Primerica Life on assessment of new data and tools.

Requirements

Expertise in quantitative data analysis methods and data mining
Excellent diagnostic and problem solving skills to analyze and identify discrepancies within data sets to identify solutions
Strong strategic thinking skills with the ability to translate trends and analyses into actionable recommendations
Ability to align projects with company objectives and discuss actionable insights with stakeholders
Effective communication across diverse audiences
Ability to handle ambiguity while striving for clarity
3-5+ years of experience in analytics-focused roles required
Bachelor’s Degree or equivalent experience required
Advanced proficiency in Database Management Software (WinSQL, dBeaver, or equivalent), PowerBI, and MS Office suite required

Nice To Haves

Experience in life insurance or actuary preferred
Progression towards actuarial exams or data science certificates is a plus
Master’s Degree in Data Analysis, Data Science, Statistics, or Actuarial Science preferred
Proficiency in Palantir Foundry and programming language (Python, R, or equivalent) preferred
Experience in the Life Insurance or medical industry is a plus

Responsibilities

Research new and existing external data sources and evaluate their impact on risk segmentation and underwriting performance
Collaborate with underwriting, claims, actuarial, and R&D teams to explore emerging methodologies, data sources, and innovative opportunities
Participate in cross-functional groups to integrate analytical findings into underwriting strategy, workflow enhancements, and R&D initiatives
Share research insights through presentations and discussions with leadership
Support development and testing of predictive models and underwriting tools including data preparation, variable selection, and model validation
Conduct mortality, morbidity, and experience studies to assess a/e outcomes and the value of underwriting methodologies
Perform cost/benefit analyses of underwriting requirement modifications, rule changes, and process improvements
Conduct validation studies comparing predictive model outputs to historical underwriting outcomes while documenting methodologies, assumptions, and findings
Translate complex analytical, actuarial, and statistical findings into clear actionable recommendations
Partner with actuaries to refine assumptions, assess model interpretability, and ensure alignment with pricing and risk expectations
Identify underwriting practices that correlate with favorable or unfavorable mortality experience and recommend strategic adjustments
Design and maintain dashboards that track underwriting performance such as placement rates, risk metrics, and predictive model results
Develop executive-level presentations summarizing research insights, statistical findings, and impact on the business
Lead analytic projects that align with R&D initiatives across multiple departments within life insurance operations
Query and analyze data using tools such as SQL, MS Access, Python, Palantir Foundry, and others as required
Create reports, presentations, and visual dashboards in support of department or business operations
Regularly present and provide insights to senior leadership