
Use Cases
Liquidity & ALM Risk
Have a proactive understanding of stress testing and liquidity metrics (LCR, NSFR, NII, EVE…), analyse cash flows and simulate ALM exposures more accurately.
Flip the cards and see how we address these common pain points
Limited access to granularity & history
for cash flows and liquidity exposuresInstant access to 100% of your cash flows
No compromise between history and granularityFragmented data sets
from ‘black box’ legacy systemsCapacity to create
very large data sets or cross data set analysisComplexity of data hierarchy
Organisations not consistent with “economical” monitoringFlexibility to build
specific and flexible views different from the hierarchyLimited capacity to calculate
and simulate regulatory ratios on the flyData versioning
with full audit trail and pre-built UDF regulatory calculations (LCR…)Long customised process
for liquidity stress testing and metric enhancementsIntegrated Python UDF
for self-service analytics, including pre-built regulatory calculationsVery high infrastructure and running costs
due to the data set sizeHorizontal scalability
using commodity hardware on-premise and/or on CloudUnderstand more granularly
liquidity and ratios changes
Integrate quickly
from multiple sources at granular level
Produce and certify autonomously
IRRBB metrics (NII, EVE) and liquidity (LCR, NSFR)
Better forecast of liquidity
ratios with forward views and calculations
Optimise liquidity buffers
resulting in the reallocation of locked liquidity
Cut up to 90% infrastructure costs
while increasing historical ranges
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We have solutions for you
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