Kgosi Ruri Molebatsi in graduation dress

Kgosi Ruri Molebatsi

I am a quantitative researcher and aspiring actuarial and quantitative risk specialist, working on the rare, severe events behind the largest insurance losses. My focus is systemic risk modelling, insurance-linked securities (ILS), extreme value theory and tail risk, and capital modelling under Solvency II. I combine statistical modelling, machine learning and financial risk theory to build robust frameworks for real-world risk problems, from forecasting extreme weather and catastrophe losses to Bayesian methods that turn expert judgement into defensible estimates of the tail.

Research Interests

Catastrophe risk and extreme weather

  • Machine learning for extreme weather.
  • Graph-based learning.
  • Predictive catastrophe modelling.
  • Insurance-linked securities.

Bayesian methods and expert judgement

  • Bayesian statistics.
  • Expert judgement elicitation.
  • Expert judgement and extreme value theory.

Education

MSc Data Science, University of KentDistinction, 85% overall
2025–2026
BSc (Hons) Actuarial Science, Heriot-Watt University
2021–2025
National Senior Certificate, Tiger Kloof Educational Institution
2016–2020

Experience

Founder, Menori CapitalPrivate holding company, in setup
2026
IT Support Assistant, University of Kent
2026
Head of Research, Kent Economics Society
2025–2026
Intern, Strategic Market Pricing, Ageas UK
2025
Intern, Risk Management, Faraday Underwriting
2024
Intern, Actuarial, Faraday Underwriting
2023