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ACTOMATE

LOSS MODEL ROBOT

The Loss Model Robot is an analytics and decision-making tool that helps insurers compare insurance and reinsurance structures to make optimal decisions. It supports simulations using historical claims experience or selected parameters, helping users evaluate how different structures may perform under different scenarios. Users can adjust key reinsurance settings, such as how much risk to retain, how much risk to transfer, and the level of protection need for different business lines. The solution then produces clear result summaries to help teams understand the possible claims cost, risk exposure, and financial impact under each scenario. It also helps insurers estimate the target reinsurance premium they should pay for different reinsurance structures. By making the analysis faster and easier to review, the solution supports more informed and practical reinsurance decisions.

 

For more information on Loss Model Robot, click HERE

desain & perencanaan imbalan
  • manfaat gratuity

  • imbalan akhir masa kerja

  • manfaat pensiun

  • manfaat hari tua

  • anuitas

  • manfaat masa kerja panjang

  • manfaat kematian & disabilitas

  • manfaat penarikan dana

  • pensiun dini karena sakit

  • manfaat medis pasca-pensiun

  • manfaat fleksibel

  • perencanaan struktur gaji

  • desain kelayakan skema

  • analisis keberlanjutan

valuasi aktuaria & pelaporan keuangan
opsi saham karyawan
  • permodelan derivative keuangan (financial derivatives modelling)

  • Black-Scholes Model

  • Monte Carlo Simulation

  • binomial lattice

  • trinomial lattice

  • finite differences

  • geometric brownian motion

  • economic scenario generator

  • permodelan stokastik (stochastic modelling)

Who Can Use It

  • manfaat gratuity

  • imbalan akhir masa kerja

  • manfaat pensiun

  • manfaat hari tua

  • anuitas

  • manfaat masa kerja panjang

  • manfaat kematian & disabilitas

  • manfaat penarikan dana

  • pensiun dini karena sakit

  • manfaat medis pasca-pensiun

  • manfaat fleksibel

  • perencanaan struktur gaji

  • desain kelayakan skema

  • analisis keberlanjutan

PRACTICE LEADER

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Nicholas Yeo

Founder & Actuary

nicholas.yeo@actomate.ai

Nicholas founded Actomate in 2015, a leading actuarial firm in Asia. He is an actuary with exceptional business acumen and a global perspective. His clients and his organization benefit from his strong grasp of the strategic, operational, governance, and risk management aspects of the business.


Nicholas has developed various technologies and software applications, including IBNR Robot, ReACC Robot, PET Robot, LRC Robot, LIC Robot, PAA Robot, and Sallesillus Robot. Nicholas also has significant experience in captive insurance, offshore insurance, robotic process automation, artificial intelligence, and data analytics.​


Nicholas has 20 years of experience in actuarial work, including life insurance, family takaful, general insurance, general takaful, employee benefits, pensions, social security, medical insurance, reinsurance, and Insurtech startups. Nicholas held appointed actuary and signing actuary roles in various jurisdictions across Asia.

Nicholas is a Fellow of the Institute and Faculty of Actuaries (UK) and a Fellow of the Society of Actuaries (US). He is a past Council Member of the Society of Actuaries’ Entrepreneurial & Innovation Section. He is also a past Chairperson of the Professional Development Committee and Events Committee of the Actuarial Society of Malaysia. Nicholas graduated from Bayes Business School with First Class Honours in BSc Actuarial Science. He is also a Certified Internal Auditor from The Institute of Internal Auditors.

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