Your Impact at GEICO
At GEICO, Research and Development (R&D) is fundamental to our business. Complex analysis underlies every major decision for our research and development and is an essential component of our unique strategic vision. Analytics have and continue to be GEICO’s hallmark in the competitive auto insurance industry.

How You’ll Make a Difference

Insurance Product Support:

• Working out of our Bethesda, MD office, as a R&D Analyst, your job duties will include creating and supporting multiple types of insurance products, assisting different business departments including Underwriting (UW), Claims, Marketing and Advertising to achieve their business goals, interacting with commercial grade database in cloud or local, generating large-scale data and translating it into business values.

Data Exploration:

• You will perform data exploration and R&D research independently and collaboratively, work with cross-functional business and technical teams on business and analytical innovation and contribute to project-related communication.

Meaningful Impact:

• You will be part of a team that is focused on innovation in the insurance industry: Trying new modeling techniques, deriving new metrics, and tackling complex questions that the company has never tried to answer before.

What We’re Looking For

Core Skills:

• Proficient in R (Python will be a plus)
• SAS SQL knowledge
• Cloud database knowledge
• Proficient in Excel v-look-up, pivot tables, charts, and graphing
• Ability to analyze data using statistical, mathematical or data mining methods
• Knowledge of insurance rating products and principles
• Knowledge of Claims, UW, Marketing or Agent
• Experience in process control and project management

Experience & Qualifications:

R&D Analyst II:

• Master's degree or higher in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields.

R&D Analyst III:

• 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.

Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.