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Dr. Dalebe Gnandi

Dalebe Gnandi, Ph.D.

Assistant Dean & Senior Lecturer in Actuarial Science & Applied Mathematics

School of Science and Engineering (SSE), International University of Grand-Bassam (IUGB)

Dr. Dalebe Gnandi is an internationally trained Actuarial Scientist and Applied Mathematician with over seventeen years of experience across leading global insurance institutions, including Munich Re, Allianz Group, Aviva, Hannover Re, AXA, and Prudential. His career uniquely bridges high-level actuarial industry expertise with advanced mathematical research and university leadership.

Professional Experience

Before joining academia full-time, Dr. Gnandi built an extensive actuarial career with globally recognized institutions, including Munich Re (UK Life), Allianz Group (Darta Life), Aviva (Europe Regional Office — London, Paris, Istanbul, Dublin), Hannover Re, AXA, and Prudential plc.

Throughout these roles, he specialized in actuarial system development and administration (MoSes, Prophet, AXIS), Asset–Liability Modelling (ALM), Embedded Value (MCEV) analysis, financial reporting (UK GAAP, US GAAP), risk modelling and valuation, and model governance and IT integration. He played key roles in model integration following international mergers, actuarial outsourcing in-sourcing projects, and upgrading actuarial libraries to modern financial projection systems.

He also served as Head of Actuarial & Risk at Côte d'Ivoire's National Health Insurance Fund (CNAM), where he led national health insurance projection modelling.

Education

  • Ph.D. in Actuarial Economics — Specializing in climate-adjusted insurance liability risk modelling
  • M.Sc. in Numerical Solution of Partial Differential Equations — University of Reading, United Kingdom
  • B.Sc. (Honours) in Mathematics — London Metropolitan University, United Kingdom

Academic Leadership

As Assistant Dean and former Interim Dean of SSE, Dr. Gnandi has led major academic transformation initiatives, including modernizing STEM programs into AI-integrated scientific degrees, designing programs in Statistical Data Modelling & AI, Computational Modelling, and Actuarial Science, and strengthening quantitative rigor across the curriculum.

He is deeply committed to enhancing research-driven teaching standards, supervising capstone projects, and chairing defense panels. Under his leadership, the School continues to position itself as a regional hub of advanced quantitative education.

Teaching

  • Partial Differential Equations
  • Numerical Analysis
  • Actuarial Science (Life Contingencies, Risk Modelling)
  • Probability & Statistics
  • Financial Mathematics
  • Theory of Interest
  • Calculus

Research Interests

  • Climate-Driven Actuarial Risk Modelling
  • Partial Differential Equations (Elliptic, Parabolic, Hyperbolic Systems)
  • Numerical Methods (Finite Difference & Finite Element Methods)
  • Stochastic & Non-Stationary Modelling
  • Monte Carlo Aggregate Loss Simulation
  • Capital Modelling (VaR, TVaR, PML)
  • Financial Mathematics & Interest Theory