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Primerica · 1 week ago

Underwriting & Risk Analyst

Duluth, GA

Full-time

Onsite

Mid, Senior Level

3+ years exp

Primerica is recognized as a top workplace and is seeking an Underwriting & Risk Analyst to enhance underwriting research and development. This role focuses on applying quantitative analysis to evaluate risk, improve decision-making, and support sustainable growth by collaborating with various teams and conducting in-depth analyses.

ConsultingFinancial ServicesInsuranceLife Insurance

Growth Opportunities

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

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

Qualification

Quantitative data analysisPredictive modelingSQLData visualizationLife insurance experienceDatabase managementStatistical analysisProblem solvingStrategic thinkingEffective communication