Senior Underwriting Innovation and Risk Data Analyst

About the role

In this role, you will lead advanced underwriting research and analytics to improve risk segmentation, underwriting performance, and strategic decision-making across life insurance operations. You will partner 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.

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

Qualifications

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

Preferred Qualifications

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

Benefits

• Day one health, dental, and vision insurance
• 401(k) Plan with competitive employer match
• Vacation, sick, holiday, and volunteer time off
• Life and disability insurance
• Flexible Spending Account & Health Savings Account
• Professional development
• Tuition reimbursement
• Company-sponsored social and philanthropy events

Policies

FLSA Status: Exempt (not eligible for overtime pay)