Case Study

Building a BigData Platform
for Credit Risk Analysis

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Overview 

In the Credit Risk Department, we implemented a comprehensive data solution for the 2018 Stress Test, adhering to the new IFRS9 standard.

Key components included the establishment of a robust DataLake with optimised architecture, sourcing, and power management, as well as the creation of a dedicated Datamart to house Stress Test-specific data.

Solution

The mission of this project is to establish a fully managed, high-performance data platform to support robust credit risk analysis. This includes the seamless administration of the platform to ensure reliability and scalability, and powering the DataLake with continuous data from upstream sources.

Quality of Service (QoS) and Quality of Data (QoD) standards will be implemented to maintain data accuracy and consistency. Additionally, the project will focus on automating the stress testing process, enhancing efficiency and responsiveness in meeting regulatory and operational requirements.

 

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Q&A Series | Women in tech

Ramola Nadkarni


Kicking off our Q&A Series with some of our wonderful women at Methods, we are talking to Ramola, Senior Project Manager, and data and digital transformation extraordinaire…

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Ramola Nadkarni Senior Project Manager Methods

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