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Summary
Data Science Senior Managers in GEICOs Pricing Department lead complex data analyses and development of pricing econometric statistical and machine learning models to drive business decisions identify actionable insights and create specific business value through shared insights and analytic solutions. In this role Senior Managers apply actuarial and analytics skills to forecast business results based on inmarket and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals regulations and market conditions. Taken together these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICOs rating plans.
Job Responsibilities
Leads collaborations with State Management Product Management Finance Technology and Pricing to identify and define analytic initiatives formulate strategies design rating plan structural enhancements and develop solutions to achieve business goals through effective use of data and pricing and machine learning models.
Builds and manages a strong agile team of technical analysts and data scientists and trains them in accessing and interpreting data analytical methods and business relevance.
Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved.
Interprets and communicates data findings and insights using visualization formal presentations written memos and other appropriate formats.
Develops and implements documentation project management coding and development best practices within a team.
Identifies appropriate actuarial statistical and machine learning methods for a collection of projects.
Manages the identification extraction aggregation and synthesizes of data using SQL R SAS Python or other appropriate languages to enable analysis model development and solution deployment.
Manages the application of actuarial and data science skills to analyze large complex datasets and identify meaningful patterns that lead to actionable insights and datadriven solutions to business problems.
Manages the discovery analysis evaluation and adoption of new data new uses for existing data or new pricing and data science methods to improve the quality efficiency and business value of data and analytic solutions.
Manages the building testing and validation of pricing econometric statistical and machine learning models and analyses as part of overall solution development.
Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design development testing and monitoring.
Candidate qualifications and skills
6 years industry experience in data science and insurance pricing/ratemaking roles with a deep understanding of both.
3 years leading a team of quantitative analysts or data scientists.
Actuarial ACAS/FCAS advanced degree in a quantitative discipline or 4 years insurance industry experience in a leadership position.
Excellent communication facilitation and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders
Demonstrated experience in developing & executing a team development roadmap influencing business decisions and driving business value
Working experience with predictive modeling machine learning experimental design AB testing and analytical modeling and data engineering tools such as R Python SQL and Spark.
Annual Salary $120000$240000
Location
This is a hybrid role onsite 3 days per week from Chicago IL Chevy Chase MD or New York NY.
Annual Salary
$0.00 $0.00The 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 candidates work experience education and training the work location as well as market and business considerations.
Benefits:
As an Associate youll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and wellbeing including:
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Required Experience:
Senior Manager
Full-Time