Shayan Ehsan
Actuarial Associate @RBC
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WORK HISTORY
Actuarial Associate @RBC
CA
Spearheaded enhancements to RBC’s UK Longevity Reinsurance valuation process by modernizing in-force extract conversions across key annuity deals, improving data quality and ensuring regulatory alignment under IFRS 17- Enhanced and maintained Longevity and Universal Life (UL) actuarial models by implementing assumption updates and improving model efficiency and reliability- Led assumption change implementations—including updates to interest rates, mortality, escalation, and expenses—ensuring model compliance and operational efficiency; peer-reviewed controls and developed documentation to strengthen assumption governance- Collaborated with modeling and pricing teams to support end-to-end deal onboarding, including premium generator development, benefit updates, and datalink redesign- Conducted sensitivity analyses on married proportions and inflation assumptions, providing actionable insights to senior management on hedging strategies and long-term liability exposure- Developed macros and batch processes in Excel and GGY AXIS to support liability modeling and scenario testing for the Canadian insurance portfolio, streamlining cash flow analysis and enhancing consistency in portfolio-level reporting.
EDUCATION
McMaster University
Bachelor of Science (B.Sc.)
SKILLS
ABOUT SHAYAN EHSAN
I’m an Actuarial Associate at RBC with over 5 years of experience in valuation, modeling, and pricing across various insurance lines, with a specialization in annuities modeling and longevity reinsurance. I work at the intersection of actuarial modeling and data — modernizing legacy processes, improving data quality, and aligning models with IFRS 17 standards.I’ve led assumption updates (mortality, escalation, expenses, discount rates), executed large-scale data system conversions (e.g, migrating legacy Excel-based inforce data to an admin system), conducted sensitivity testing and assumption studies, and built tools to support model development, reserve analysis, and reporting. Key projects include inforce data migration, assumption generator development, and GGY AXIS datalink enhancements.I’ve collaborated closely with international teams, auditors, and stakeholders from pricing, operations, and reporting. I’ve passed multiple SOA exams and modules (P, FM, IFM/ATPA, SRM, PA, FAM, ALTAM, FAP, FSA Modules) and am actively progressing toward fellowship. I’m passionate about using data to strengthen actuarial modeling, streamline processes, and drive meaningful outcomes across insurance and financial services. Always open to connecting on actuarial modelling, data transformation, and roles at the intersection of insurance and analytics.
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