Ntando Sithole
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Ntando Sithole

Actuarial Specialist | Cell Captives, Valuations and Capital Modelling

Actuarial Specialist working across cell captives, IFRS 17, MCEV and SAM valuations, capital modelling and reproducible analysis in R.
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Professional Profile

I am an Actuarial Specialist working across cell captive arrangements, corporate actuarial valuations, and capital modelling. My valuation experience includes reporting and review work under IFRS 17, Market Consistent Embedded Value (MCEV), and the Solvency Assessment and Management (SAM) framework.

I use R to support actuarial analysis, model development, sensitivity testing, and the clear communication of results. This portfolio presents selected technical work and practical perspectives for fellow actuarial, insurance, and risk professionals.

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Areas of Practice

  • Cell captive structuring, monitoring, and profitability analysis
  • Corporate actuarial valuations under IFRS 17, MCEV, and SAM
  • Embedded value, value-of-new-business, and valuation movement analysis
  • Capital modelling, solvency assessment, and stress/scenario testing
  • Life insurance cash-flow projection, reserving, and assumption review
  • Short-term insurance rating, portfolio analytics, and claims experience review
  • Experience investigations, basis setting, and actuarial control checks
  • Reproducible actuarial analysis, model development, and reporting in R
  • Technical communication for finance, risk, and insurance stakeholders

Featured Research

Technical reviews built on synthetic assumptions, each with visible, reproducible R code and an explicit discussion of model limitations.

Abstract life insurance reserve modelling graphic with a shield, cash-flow bars, and reserve curve

Life Insurance Cash Flow Projection and Reserve Sensitivity in R
8 min

A reproducible R model for term assurance cash flows, level premiums, prospective reserves, and sensitivity testing under synthetic mortality assumptions.

Abstract transition paths connecting four no-claims discount classes

Markov Chain Modelling of No-Claims Discount Systems
8 min

A reproducible R framework for projecting rating-class migration, premium income, and the long-run portfolio mix of a no-claims discount system.

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