Reinsurance Group of America, Incorporated · 1 month ago
Actuary, Americas Data Solutions
United States
Full-time
Remote
Senior Level
7+ years expReinsurance Group of America, Incorporated is a Fortune 200 Company focused on life- and health-related solutions. The Actuary will lead the Americas Data Solutions team, utilizing advanced analytics and predictive modeling to address complex challenges in the reinsurance sector while collaborating with senior leadership to drive business growth.
Financial ServicesHealth InsuranceInsuranceLife InsuranceService Industry
Responsibilities
Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector
Provide hands-on technical leadership by setting high standards for analytical rigor and solution quality
Oversee and coordinate large-scale, cross-functional projects that require collaboration across diverse groups such as Actuarial, Underwriting, IT, Legal, and Operations
Act as a catalyst for innovation by proactively scouting, evaluating, and piloting emerging modeling techniques and technologies relevant to the reinsurance industry
Develop, document, and enforce best practices for data analysis, model development, and model governance
Build and maintain strong partnerships with senior business leaders to understand strategic priorities, identify and prioritize high-impact analytical opportunities, and drive the adoption of data-driven solutions
Apply deep subject matter expertise in life and health reinsurance—including domains such as mortality, morbidity, underwriting, and claims—to inform the design and interpretation of predictive models
Qualification
Required
Bachelor's degree in Mathematics, Finance, Statistics, Actuarial Science, or related field
FSA Accreditation
7+ years of actuarial experience
Quantitative Skills: Possesses expert-level knowledge of traditional actuarial analysis, including multivariate analysis, experience studies, pricing, and valuation
Technical Skills: Exhibits deep, hands-on expertise in programming languages such as Python and R for data analysis, machine learning, and automation. Highly proficient in SQL for complex data extraction, transformation, and loading (ETL) processes. Demonstrated ability to deploy scalable models in cloud environments such as AWS, Azure, and Databricks, including the use of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for robust production deployments
Problem-Solving: Demonstrated ability to approach highly complex and ambiguous problems with creativity and rigor. Skilled at framing business challenges as analytical questions, designing innovative solutions that may lack existing precedent, and validating approaches through experimentation and stakeholder feedback. Adept at balancing technical feasibility with business impact to deliver actionable insights
Communication & Negotiation: Exceptional written and verbal communication skills, with the ability to distill complex technical concepts into clear, compelling narratives for both technical and non-technical audiences. Experienced in presenting findings to senior leadership, influencing decision-making, and negotiating with external partners to drive alignment and adoption of data-driven strategies. Skilled at facilitating cross-functional discussions and overcoming resistance to change
Leadership: Demonstrated success in leading and inspiring cross-functional teams of data scientists, engineers, actuaries, and business stakeholders. Adept at managing projects from initial concept through to production deployment, ensuring alignment with organizational goals and timelines. Committed to mentoring and developing junior data scientist actuaries, fostering a collaborative and innovative team environment
Business Acumen: Strong understanding of reinsurance treaty structures, risk assessment, and underwriting processes, with the ability to apply actuarial concepts to inform data science solutions. Experienced in quantifying and articulating the business value of analytics initiatives, translating technical outputs into actionable business recommendations that drive profitability and operational efficiency
Preferred
3+ years statistical modeling experience for insurance or related applications (GLM, Decision Trees, Time Series, Regression, etc.)
Master's or Ph.D. in Data Science, Computer Science, Statistics, Actuarial Science, Mathematics, or a related quantitative field
Publications or presentations in relevant data science, actuarial, or industry conferences
Statistical Skills: Possesses expert-level knowledge in a wide range of statistical modeling techniques, including regression analysis, classification, clustering, time series forecasting, and survival analysis. Strong ability to apply advanced analytics techniques to traditional actuarial problems
Experience working with Databricks, Snowflake, and AWS tech stacks
Experience working with large longitudinal datasets using actuarial methods of analysis
GenAI Expertise: Proven experience in developing, fine-tuning, and evaluating large language models (LLMs) to address specific business requirements. Skilled in managing MLOps pipelines to ensure seamless integration of AI solutions into production, including monitoring, versioning, and automated retraining. Adept at building production-grade AI systems that are reliable, explainable, and compliant with governance standards, enabling the deployment of advanced AI applications in regulated industries. Demonstrates advanced proficiency in designing, validating, and interpreting machine learning algorithms (such as tree-based models, ensemble methods, neural networks, and natural language processing). Maintains up-to-date expertise in Generative AI (GenAI) technologies, including prompt engineering, model evaluation, and the application of large language models (LLMs) to solve business challenges. Experienced in leveraging modern machine learning and GenAI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, scikit-learn) to develop, test, and optimize models
Benefits
Annual bonus plan
Full range of health, retirement, and other employee benefits
Company
Reinsurance Group of America, Incorporated
Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions that help clients effectively manage risk and optimize capital.
1001-5000 employees
H1B Sponsorship
Reinsurance Group of America, Incorporated has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (46)
2023 (41)
2022 (34)
2021 (34)
2020 (26)
Funding
Current Stage
Public CompanyTotal Funding
$1.35B2025-02-26Post Ipo Debt· $700M
2024-05-08Post Ipo Debt· $650M
2008-12-18IPO
Leadership Team
Axel Andre
Chief Financial Officer
Jeffrey Hopson
SVP - Investor Relations
Recent News
2026-01-22
2026-01-11
2025-12-22
Company data provided by crunchbase