Adopt a more agile approach to risk management by unifying data and AI in the Lakehouse
This solution has two parts. First, it shows how Delta Lake and MLflow can be used for value-at-risk calculations – showing how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse. Secondly. the solution uses alternative data to move towards a more holistic, agile and forward looking approach to risk management and investments.
Read the full writeup part 1→
Read the full writeup part 2→
Download the VaR and Risk Management Notebooks:
Modernizing Risk Management
Benefits and business value
Gain a holistic view
Use a more complete view of risk and investment with real-time and alternative data that can be analyzed on-demand
Detect emerging threats
Proactively identify emerging threats to protect capital and optimize exposures
Achieve Speed at Scale
Scan through large volumes of data quickly and thoroughly to respond in time and reduce risk
Reference architecture
Additional assets
