R&D Analyst III: Insurance Analytics & Modeling

Government Employees Insurance Company; Bethesda (MD); On-site; USD 60,000 - 185,000; Full time

Job summary

GEICO in Bethesda, MD is seeking a Research and Development (R&D) Analyst to join our analytics-driven team. You will create and support multiple insurance products, collaborate with Underwriting, Claims, Marketing and Advertising, and translate large datasets into actionable business insights.

Responsibilities include data exploration, cross-functional teamwork, and applying modeling techniques to derive new metrics while contributing to innovative solutions for the insurance industry.

Qualifications

• Master’s degree or higher in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields.
• PhD degree in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields.
• In lieu of PhD degree: Master’s degree in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative / analytics fields, and a minimum of 2 years of analytical experience.

Responsibilities

• Create and support multiple types of insurance products, assisting UW, Claims, Marketing and Advertising, and translating data into business values.
• Data exploration and R&D research, collaborating with cross-functional teams on analytics innovation.
• Develop and apply modeling techniques, derive new metrics, and address complex questions for GEICO.

Skills

R

SAS/SQL

Cloud databases

Excel advanced

Data analysis

Insurance knowledge

Industry domains

Project management

Education

Master’s or higher in Statistics/Math/Data Science/Analytics

PhD in Statistics/Math/Data Science/Economics/OR or related field

Master’s with 2+ years analytical experience (in lieu of PhD)

Job description

GEICO in Bethesda, MD is seeking a Research and Development (R&D) Analyst to join our analytics-driven team. You will create and support multiple insurance products, collaborate with Underwriting, Claims, Marketing and Advertising, and translate large datasets into actionable business insights.

Responsibilities include data exploration, cross-functional teamwork, and applying modeling techniques to derive new metrics while contributing to innovative solutions for the insurance industry.