• 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 recommends 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 & 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 on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines • Stay abreast of new techniques, but 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, maintaining consistency of approach

• Provide **L3 support for network transport, routing, DNS, load balancing, and network automation** • Operate and optimize **Citrix NetScaler/ADC platforms** and manage **Infoblox DDI (DNS/DHCP/IPAM)** • **Troubleshoot connectivity,** routing, segmentation, and application delivery issues across the network • Perform routine maintenance, firmware upgrades, configuration management, and network monitoring • Support **network lifecycle activities**, SDN adoption, cloud connectivity, and disaster recovery testing • **Lead and mentor L2 analysts**, maintain documentation, and ensure compliance with security and audit standards

• Define and lead the company’s applied AI strategy, delivering scalable ML and LLM-powered solutions that drive measurable business impact • Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities • Coach and grow a small team • Architect end-to-end AI systems • Help the company communicate AI value credibly and responsibly to customers and stakeholders

• Define and lead the company’s applied AI strategy • Deliver scalable ML and LLM-powered solutions that drive measurable business impact • Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities • Coach and grow a small team • Architect end-to-end AI systems • Help the company communicate AI value credibly and responsibly to customers and stakeholders