Associate Data Science Actuary

Position: Associate Data Science Actuary at Reinsurance Group of America, Incorporated (RGA). Hybrid role available at RGA's Toronto or Montreal offices, or remote. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data‑driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project‑teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Responsibilities Lead, design, create, and interpret end‑to‑end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non‑traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommend improvements in data analysis /modeling best‑practice standards. Communicate with a variety of stakeholders at various levels of seniority. Offer risk‑management skills to any data processing or modeling exercise: Understand business context and where material scope for error lies. Adhere to professional standards, best practices, and ethical guidelines. Understand the strengths and limitations of a modeling approach. Have a strong understanding of tools / techniques that actuarial peers may not have formal education in: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines. Stay abreast of new techniques, focusing on practical applications. Liaise with RGA's data scientists across the globe about more sophisticated data science applications. Contribute to RGA's global analytics community, routinely sharing and maintaining consistency of approach. Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field. FSA accreditation or equivalent. Minimum of 6 years of actuarial experience in life insurance, reinsurance, or pension risk transfer. 2+ years of statistical on‑the‑job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.). Proficiency in statistical programs/languages (R or Python). Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle, etc.). Advanced predictive modeling skills: Tree‑based models, GLMs, GAMs, etc. Cross‑validation, residuals, and model diagnostics. Basic statistical concepts for feature engineering (e.g., percentiles, standardization, correlations, risk ratios / chi‑square tests, splines, and other non‑linear transformations). Proactive use of insurance expertise & actuarial concepts for feature engineering and model evaluation. Advanced exploratory data analysis skills – plots and graphics (BI/ggplot). Ability to compile, analyze, refine, model and interpret very large data sets, incorporating expert judgment into statistical modeling techniques. Transform data to enhance its predictive value (feature engineering). Advanced ability to translate business needs and problems into viable/accepted solutions. Advanced investigative, analytical, and problem‑solving skills. Preferred Experience with longevity product design / pricing / experience studies / assumption development. Reinsurance industry experience. Master’s degree or PhD in Statistics, Actuarial Science, Economics, or related field. 4+ years of experience with statistical modeling for insurance. Familiarity with actuarial modeling platforms (AXIS, Prophet, Exp Studies, etc.). Basic data engineering capabilities (Python, Scala). Basic machine learning models/concepts (SVMs, GANs, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA, SVD, and clustering. Compensation Range $114,000 - $150,000 CAD Annual 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. Base pay varies based on job‑related knowledge, skills, experience, and market location. RGA also provides an annual bonus plan that includes all roles, and some positions are eligible for participation in our long‑term equity incentive plan. RGA 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. #J-18808-Ljbffr