Assistant Data Science Engineer

Reinsurance Group of America, Incorporated

22h

About The Position

You desire impactful work. You’re RGA ready RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Support the senior data scientist engineers to implement and deploy predictive modeling solutions and commercial applications for both RGA internal and external clients across the globe. Work with IT to investigate and debug data pipeline and model issues and performance. Work on data understanding, manipulating, and cleaning to ensure the data quality and integrity for effective modeling. Communicate critical findings from analyses to the predictive team members and division's senior management team. Principle Duties Implementation: Assist in the preparation of data science models for access by external clients. This includes restructuring R, JavaScript, Scala, and Python code for API and web access and developing the actual API interface/protocol.Modeling: Develop and enhance statistical and machine learning models for the applications in the insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc., for use internally or externally. Provide internal and external clients with an expert review of vendor and client-generated models.Commercial Applications: Assist/support in developing 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 a thorough and deep statistical analysis of the data; Subject Matter Expertise / Client Contact: Develop subject matter expertise in predictive modeling and advanced data analytics in the insurance application. Support clients as needed. Collaboration / Communication: Collaborate with local offices in support of various predictive modeling projects. Develop verbal and oral communication skills whenever possible. Actively participate in other research-related initiatives

Requirements

• Master’s degree in Arts/Sciences (MA/MS) in Statistics, Computer Science, Information Systems, Business, Finance, Economics, Information Systems, Computer Science, or related field - Required
• 1+ years of software development experience.
• 1+ year experience with statistical and machine learning modeling (GLM, Decision Trees, Time Series, Regression, NLP, etc.) - Required
• 1+ years of experience with statistical modeling or relevant experience in insurance or related industry - 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).
• Familiarity with R or Python for predictive modeling and automation.
• Knowledge of R-shiny.
• Knowledge of SQL, JavaScript, XML, JSON, and HTML.
• Knowledge of AWS technologies, such as EC2, S3, and Dynamo.
• Basic familiarity with Linux/UNIX command line access.
• 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
• Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well-received
• Strong ability to handle multiple projects simultaneously
• Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines

Nice To Haves

• Master’s degree in Arts/Sciences (MA/MS) or Ph.D. in Statistics, Computer Science, Information Systems, Business, Finance, Economics, Information Systems, Computer Science, or related field - Preferred
• Ability to translate business needs and problems into viable/accepted solutions
• Investigative, analytical and problem-solving skills
• Knowledge of actuarial concepts including mortality, morbidity, and persistency studies.
• Knowledge of life, health, and/or annuity products.
• Knowledge of life insurance underwriting
• Solid experience with Java or C#.
• Solid experience with R or Python for predictive modeling
• Familiarity with Domino Data Lab
• Knowledge of insurance risk analysis.

Responsibilities

• Assist in the preparation of data science models for access by external clients.
• Restructuring R, JavaScript, Scala, and Python code for API and web access and developing the actual API interface/protocol.
• Develop and enhance statistical and machine learning models for the applications in the insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc., for use internally or externally.
• Provide internal and external clients with an expert review of vendor and client-generated models.
• Assist/support in developing commercial applications of predictive models for use in underwriting, claims, experience study, risk management, and/or projections.
• 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 a thorough and deep statistical analysis of the data
• Develop subject matter expertise in predictive modeling and advanced data analytics in the insurance application.
• Support clients as needed.
• Collaborate with local offices in support of various predictive modeling projects.
• Develop verbal and oral communication skills whenever possible.
• Actively participate in other research-related initiatives

Benefits

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.
• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.
• Join the bright and creative minds of RGA, and experience vast, endless career potential.
• RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan.
• RGA also maintains a full range of health, retirement, and other employee benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees