Using causal inference for explainability enhancement in the financial sector

19 Nov 2024

Rhea Mirchandani and Steve Blaxland Supervisors are responsible for ensuring the safety and soundness of firms and avoiding their disorderly failure which has systemic consequences, while managing increasingly voluminous data submitted by them. To achieve this, they analyse metrics including capital, liquidity, and other risk exposures for these organisations. Sudden peaks or troughs in these … Continue reading Using causal inference for explainability enhancement in the financial sector →
innovation data science causal inference root cause analysis anomaly attribution explainability enhancement

Authors

BankUnderground

Published in
United Kingdom
Rights
© BankUnderground