Elsa Chelsea Ndamage

Actuarial Science graduate with strong skills in data analysis, financial modeling, and risk assessment. Experienced in competitive environments. Proficient in Excel and R, fluent in English, French, and Kinyarwanda, and adaptable to roles in actuarial, finance, and investment fields to drive data-informed decisions.

Certificate of Participation, 2024 SOA Case Study Challenge

● Participated in the 2024 Society of Actuaries Case Study Challenge, where my team and I developed a comprehensive health incentive program for SuperLife, a fictional life insurance company in Lumaria. Key contributions included:

• Collaborative Analysis: Worked alongside team members to review extensive in-force data, historical mortality tables, and external research on health interventions to propose evidence-based incentives aimed at lowering policyholder mortality rates.
• Program Design: Designed health-focused incentives that encouraged policyholder engagement through wellness activities, with the goal of reducing expected mortality, enhancing the competitiveness of life insurance products, and increasing overall sales.
• Risk and Sensitivity Analysis: Conducted a thorough risk assessment to identify potential risks to the program's success. Performed sensitivity analyses to understand how changes in key assumptions (such as mortality improvements and participation rates) would affect program outcomes.
• Pricing and Economic Impact: Evaluated the financial implications of the proposed program, calculating potential mortality savings and the added economic value for SuperLife's life insurance products. Suggested pricing adjustments to optimize both profitability and customer value.
• Presentation and Reporting: Delivered a well-structured, high-level report tailored for a multidisciplinary audience, effectively communicating complex actuarial findings, assumptions, and recommendations to non-technical stakeholders.

• Data Technical Skills:
  Proficient in Excel and Python for data analysis, statistical modeling, and report generation.
• Financial and Analytical Knowledge:
  Strong understanding of risk management, financial mathematics, probability theory, bonds, annuities, and yield rates, critical for financial forecasting and investment analysis.
• Analytical and Problem-Solving Abilities:
  Known for critical thinking, identifying trends, and creating data-driven solutions. Skilled in interpreting complex data to generate actionable insights for decision-making across various roles.
• Communication and Collaboration:
  Effective communicator with experience presenting technical findings to non-technical stakeholders. Fluent in English, French, and Kinyarwanda, enabling cross-cultural collaboration.

• Gamma Lotta Sigma
• Actuary Science Club, Ball State University