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

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.

AI-powered Reinsurance Contracts & Parties management

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

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

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.

A Dask library for Big Data processing in Python demo

Information on reinsurance - market, analytics, and software.

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

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

County-level winter weather loss analysis (SHELDUS) combined with snowfall accumulation data (NOHRSC) and upper-air weather variables (ERA5) to identify key drivers of Midwest DJF property damage.

React frontend for the RiskFlow reinsurance data mapping API — interactive flow mapper for bordereaux file upload, AI-suggested column mappings, and row validation.

Full-stack catastrophe analytics workbench — property cat pricing, ILS parametric triggers, and portfolio risk engines. React + Fastify + Scala + BullMQ.