Case Study Make your model validation 50% more efficient, via automation & smart process design Traditionally, testing, validating and monitoring models involves a huge amount of manual work. As well as being slow and hard to scale, that approach also puts pressure on banks’ talent and budgets, detracting from the goals model risk management while increasing its technicalities. We helped a leading US investment bank to decompose the process of validation and to automate key processes for testing and documenting, delivering significant time savings and business benefits. Client Leading US investment bank Industry Investment Banking Our Solution ? Decomposed model validation process for parallel processing and specialization ? Introduced autom

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