Data Scientist

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.

Position Overview

Work to develop and implement predictive modeling and artificial intelligence (AI) solutions for commercial applications for both RGA internal and external clients across the region. Work on business understanding, data manipulating and cleaning to ensure the data quality and integrity for effective modeling. Communicate key findings (with an effective, audience-specific approach) and deliver data products to the division’s senior management team and key stakeholders from other departments and/or clients.

Responsibilities

• Modeling Develop and enhance statistical models and AI solutions for applications to 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 on vendor and/or client-generated models.
• Commercial Applications Understand clients’ objectives and develop commercial applications of predictive models for use in underwriting, claims, risk management and/or financial projections.
• Data Understanding Leverage in-depth knowledge of the insurance industry and its data to carry out a comprehensive 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 applications.
• Subject Matter Expertise / Client Contact Provide subject matter expertise in the insurance application of predictive modeling and advanced data analytics. Expand knowledge of insurance products, markets, processes and challenges.
• Collaboration / Communication Collaborate with and provide technical expertise to business units for predictive modeling and other ongoing projects using strong verbal and oral communication skills.
• Actively participate in other research-related initiatives.
• Maintain regular and predictable attendance.
• Perform other duties as required.

Requirements

• Bachelor’s degree in Math, Statistics, Computer Science, Finance, Economics, Bioinformatics or related field
• 2+ years developing predictive and AI models for insurance, health or related applications (GLM, Decision Trees, Time Series, Regression, Deep Learning, LLMs, etc.)
• Advanced computing skills, including programing languages R and/or Python, spreadsheets and database applications (Excel, SQL, Tableau, or comparable technologies), version tracking (e.g. GitHub), and cloud services (e.g. AWS, Snowflake).
• Proficiency developing and implementing machine learning algorithms, including supervised and unsupervised learning techniques
• Proficiency with statistical modeling, predictive analytics, and building scalable data pipelines for large datasets
• Advanced knowledge in econometrics, statistics, math, computer science, and/or computational finance.
• Advanced knowledge of Generative AI and LLMs (ex. ChatGPT, Bedrock, etc.)
• Investigative, analytical and problem-solving skills
• 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 oral and written communication skills to present complex findings to both technical and non-technical stakeholders
• Strong ability to handle multiple projects simultaneously
• Takes initiative and is accountable
• Ability to translate business needs and problems into viable/accepted solutions
• Ability to work well both independently and in a team environment.
• Ability to resolve conflicts and foster teamwork

Preferred

• Master’s degree or PhD in Math, Statistics, Computer Science, Business, Finance, Economics, Bioinformatics or related field
• 3+ years of experience with predictive and AI models for insurance or health related applications (GLM, Decision Trees, Time Series, Regression, Deep Learning, LLMs, etc.)
• Proficiency in both Python and R programming languages
• Experience developing dashboards via R Shiny, Dash, Tableau, etc.
• Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines
• Knowledge of actuarial concepts including mortality, morbidity, and persistency studies
• Knowledge of life, health, and/or annuity products
• Knowledge of life insurance underwriting
• Knowledge of insurance risk analysis.
• Knowledge of insurance risk analysis.
• Experience in computational finance and econometrics
• Willingness to travel domestically and internationally

What you can expect from RGA

• 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.

Compensation Range

$87,050.00 - $131,450.00 Annual

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, 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.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.