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Senior Data Scientist
Reinsurance Group of America
Chesterfield, MO, United States
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Position Overview
More than anything, RGA employees love their jobs because it’s challenging work. We believe smart people work smarter when they’re empowered. When they use logic, balanced with creativity and curiosity. At the forefront of RGA’s culture is collaboration – a must to be successful within our organization. These are just a few of the attributes we are looking for in a Senior Data Scientist to join our team.
The Senior Data Scientist develops and implements predictive modeling solutions and commercial applications for both RGA internal and external clients across the globe. Demonstrate understanding of our client’s needs, industry trend and modeling activities, and advanced modeling applications in product and markets. Communicate and present key findings from analyses to the division’s senior management team and key stakeholders from other departments and/or clients with an effective, audience-specific approach.
Responsibilities
• Modeling: Design, develop and interpret end-to-end statistical models for the applications in insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc. for use internally or externally. Provide internal and external clients with an expert review on vendor and/or client-generated models.
• Commercial Applications: Possess a strong understanding of the various commercial applications of predictive models for use in underwriting, claims, experience study, risk management and/or projections.
• Data Understanding: When presented with specialist datasets, carry out the full spectrum of data analysis, from the development of statistical analysis plans and design of the database schema, through data cleansing and into the creation of new insights and knowledge based on thorough and deep statistical analysis of the data;
• Subject Matter Expertise / Client Contact: Routinely demonstrate an expertise in the areas of statistical modeling, the insurance application of predictive modeling and advanced data analytics.
• Collaboration / Communication: Collaborate with and provide extensive support to the local offices for predictive modeling and other projects. Periodically present information to clients and at industry conferences.
• Actively participate in other research-related initiatives
Requirements
Education and Experience
Required:
• Bachelor’s degree in Math, Statistics, Actuarial Science, Finance, Economics or related field
• 6+ years of actuarial experience or 6+ years in developing statistical models for insurance or related applications
Preferred:
• Master’s degree or PhD in Statistics, Actuarial Science, Business, Finance, Economics, or related field
• 8+ years of experience with statistical modeling for insurance (GLM, Decision Trees, Time Series, Regression, etc.)
Skills and Abilities
Required:
• Advanced PC and technical skills, including statistical programs (ex.: R, SAS, MATLAB, or Python), spreadsheets (VBA) and database applications (Access, Oracle, SQL or equivalent technology).
• Advanced knowledge in econometrics, statistics, math and/or computational finance.
• Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions
• Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives
• Advanced oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received
• Strong ability to manage multiple projects simultaneously
• Strong persuasion and negotiating skills when working with internal/external customers
• Ability to resolve conflict and foster teamwork
• Advanced investigative, analytical and problem solving skills
• Strong ability to translate business needs and problems into viable/accepted solutions
• Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines
Preferred:
• Skills in customer relationship management and change management
• Knowledge of actuarial concepts including mortality, morbidity, and persistency studies.
• Knowledge of life, health, and/or annuity products.
• Knowledge of life insurance underwriting and biometric risk analysis
• Strong experience with R, SAS, MATLAB or Python.
• Knowledge of SQL and VBA.
• Knowledge of insurance risk analysis.
• Advanced experience in computational finance, econometrics, statistics and math.
Company Overview
Reinsurance Group of America, Incorporated (NYSE: RGA) is one of the largest global providers of life reinsurance, with offices around the world. RGA delivers expert solutions in individual life reinsurance, individual living benefits reinsurance, group reinsurance, financial solutions, facultative underwriting and product development.
With operations in 26 countries, we support our clients and partners around the world with innovative approaches and customized solutions. What do you think? Better yet, how do you think? Have we piqued your curiosity? Consider a career with RGA. It’s the logical choice.
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