reinsurance

Loss modelling framework.

Repository of GEMAct source code. Enjoy!

Functions from the book "Reinsurance: Actuarial and Statistical Aspects"

Destruction rate modeling with the Maxwell Boltzmann Bose Einstein Fermi Dirac (MBBEFD) distribution

An actuarial stochastic modeling library in python.

reinspy - a Python Reinsurance Package

AI-powered Reinsurance Contracts & Parties management

SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.

File validation and data sampling toolkit for the Simplitium Open Exposure Data (OED) (re)insurance exposure data format

Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.

You will be able to execute transactions against a real Hyperledger Fabric blockchain network for Reinsurance Claims that interacts with a blockchain network.

Location-level Florida hurricane catastrophe model in Python: HURDAT2-calibrated hazard + physical wind field (Holland, Vickery-Wadhera, Kaplan-DeMaria), synthetic exposure, HAZUS-anchored vulnerability, OED/YLT/ELT formats, XoL reinsurance with reinstatements, gross/net AEP/OEP curves & PMLs, historical backtesting (Andrew, Ian).

Tarification et provisionnement automobile en R : modèles fréquence-sévérité, GLM, valeurs extrêmes, réassurance et capital.

AI-powered document review for reinsurance workflows.

AI-powered daily job discovery for insurance operations. Claude API scoring, automated CV generation, email alerts. 30+ job sources across Europe.

A collection of reinsurance contracts retrieved from SEC filings, with additional metadata generated by LLMs.

Severity modelling for insurance pricing - spliced distributions, DRN, composite regression, EQRN extreme quantiles

Envelop Risk is a technology-led reinsurance underwriting and analytics firm specializing in cyber and other complex, emerging risks. The company combines actuarial science, machine learning, and cyber threat intelligence to model, price, and underwrite cyber (re)insurance for insurers, MGAs, and capital-market partners.

This Module tries to combine and simplify all aspects of Reinsurance Invoicing, Analysis, Slip Generation, Quotation & Data science. Later to be Intergrated into a cross platform API.

End-to-end reinsurance analytics: EVT, treaty structuring, and program optimization using freMTPL2 data