Reinsurance Group of America, Incorporated · 1 day ago
Actuary, Americas Data Solutions
Missouri, United States
Full-time
Onsite
Senior Level
7+ years expReinsurance Group of America, Incorporated is a Fortune 200 company focused on life- and health-related solutions. They are seeking a qualified Actuary to lead advanced analytics initiatives within the Americas Data Solutions team, leveraging predictive modeling techniques to address challenges in the reinsurance sector and drive business growth.
Financial ServicesHealth InsuranceInsuranceLife InsuranceService Industry
Responsibilities
Strategic Solution Architecture Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector. This includes leading statistical modeling initiatives and integrating these solutions into critical business functions like pricing, risk assessment, claims analytics, and customer engagement. Ensure that model architectures are robust, secure, and optimized for both performance and interpretability, while aligning with RGA’s strategic objectives and compliance requirements
Technical Leadership & Mentorship Provide hands-on technical leadership by setting high standards for analytical rigor and solution quality. Mentor and coach both senior and junior actuaries, offering guidance on advanced modeling techniques, code review, and project management best practices. Foster a collaborative and innovative team environment that encourages knowledge sharing, continuous learning, and the adoption of new tools and methodologies. Lead technical deep-dives and problem-solving sessions to address the most complex analytical challenges faced by the team
Cross-Functional Leadership Oversee and coordinate large-scale, cross-functional projects that require collaboration across diverse groups such as Actuarial, Underwriting, IT, Legal, and Operations. Develop and maintain project plans, set clear deliverables, and facilitate effective communication among stakeholders to ensure alignment on project goals and timelines. Proactively identify and resolve conflicts or bottlenecks, ensuring that projects are executed efficiently and deliver measurable business impact
Innovation & Strategy Act as a catalyst for innovation by proactively scouting, evaluating, and piloting emerging modeling techniques and technologies relevant to the reinsurance industry. Lead the identification of new use cases, prototype novel solutions, and conduct feasibility studies. Recommend and implement best practices for integrating advanced analytics into business processes, and contribute to the development and ongoing refinement of the data science team’s strategic roadmap. Share insights and learnings through presentations, white papers, and thought leadership within and beyond the organization
Governance & Best Practices Develop, document, and enforce best practices for data analysis, model development, and model governance. This includes establishing protocols for model validation, monitoring, versioning, and lifecycle management, as well as ensuring compliance with ethical standards and regulatory requirements. Oversee the creation and maintenance of comprehensive technical documentation to support transparency, reproducibility, and knowledge transfer across the team and organization
Senior Stakeholder Management 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. Communicate complex technical concepts in clear, actionable terms tailored to both technical and non-technical audiences. Lead negotiations and change management efforts to overcome resistance and ensure successful implementation and value realization of new data science initiatives
Domain Expertise 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. Ensure that all analytical solutions are contextually relevant, aligned with industry best practices, and capable of addressing real-world business problems. Serve as a key resource for translating business needs into technical requirements and for validating model outputs against domain benchmarks and regulatory standards
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
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
Experience working with data visualizations tools, such as Power BI, Sigma, Tableau
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
Benefits
Annual bonus plan
Long-term equity incentive 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
Jeffrey Hopson
SVP - Investor Relations
Axel Andre
Executive Vice President
Recent News
2025-12-22
MarketScreener
2025-12-10
Company data provided by crunchbase