Senior Data Science Engineer

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 500 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.

A Brief Overview
Develop and implement 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.

What you will do

• Implementation: Design and deploy data science models for access by external users outside data science team under limited supervision. This includes restructuring R and Python code for API and web access, as well as developing the actual API interface/protocol.

• 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.

• 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.

• 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

Qualifications

• Bachelor’s Degree in Arts/Sciences (BA/BS) in Computer Science, Software Engineering, Math, Statistics, Actuarial Science, or related field required

• Master’s degree in Arts/Sciences (MA/MS) in Computer Science, Software Engineering, Math, Statistics, Actuarial Science, or related field preferred

• Doctoral Degree (Ph.D.) in Computer Science, Software Engineering, Math, Statistics, Actuarial Science, or related field preferred

• 6+ Years of software development experience, with familiarity with developing statistical models for insurance or related applications required

• 8+ Years of software development experience preferred

• 1+ Years experience with statistical modeling (GLM, Decision Trees, Time Series, Regression, etc.) preferred

• 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). Solid experience with Java or C#. required

• Knowledge of SQL, VBA, Javascript, XML, JSON, and HTML. required

• Advanced knowledge in econometrics, statistics, math and/or computational finance. required

• Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions required

• Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives required

• 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 required

• Ability to resolve conflict and foster teamwork required

• Advanced investigative, analytical and problem solving skills required

• Skills in customer relationship management and change management. Strong persuasion and negotiating skills when working with internal/external customers. preferred

• Knowledge of actuarial concepts including mortality, morb