WE CREATE SOFTWARE FOR YOUR PROJECT
We are an innovative studio. We develop software and business solutions that enable our clients to focus on their own business goals.
WHAT WE DO
Data engineering & Business intelligence
We support customers in building end-to-end data engineering solutions to get data to the right place in the right shape, so they can be viewed in a right way.
Risk model governance
Explore our model governance platform and vision of efficient model governance framework, which makes the governance of models a benefit instead of a burden. The plaftorm is designed primarily for banks, insurances or other financial institutions dealing with number of predictive models.
MODEL GOVERNANCE SUITE
Based on our experience in the banking and insurance environment, we have developed a platform enabling organisations effectively managing and monitoring risk models.
Take a look at the several solutions that we have successfully delivered.
Credit Risk Stress Testing Framework
We have created a unique solution for recurring stress tests in credit risk Raiffeisen Bank International, which allows us to define our own test scenarios for simulation of portfolio development and calculations of individual Risk Parameters RWA or ECL. Our application was successfully used for EBA stress tests in 2018 and continues to be extensively used for other stress testing needs by internal or required controllers.
IFRS9 Provisions Plausibility Engine
In early 2018, a new methodology for the calculation of provisions for Expected Credit Losses (or ECL) under IFRS9 for the banking sector came into force. Our team was tasked with implementing a solution for the retail credit exposures of Raiffeisen Bank International (RBI). The calculation is used to check the plausibility of results provided by each RBI subsidiary bank.
Digital Transformation for an International Corporation
Internal workflows are often defined very strictly, but not supported by appropriate tools. Data and documents are distributed via emails or shared folders, where there is clearly no single-source-of-truth. Keeping the deadlines between the teams is complicated because it creates ambiguities in which state the workflow is actually located and who is responsible for it.