
Use Cases
Market Risk
From simple market risk aggregation to complex regulatory calculations (FRTB), Opensee allows you to explore the most granular and historical level of trade data in real-time and run simulations on your P&L.
Flip the cards and see how we address these common pain points
Limited access to granularity & history
for Sensitivities, VaR, ES,...Instant access to 100% of your trades
No compromise between history and granularityHigh IT involvement
Constant requests for simple tasksBusiness-user empowerment
Abstraction Model layer, intuitive UI, user-defined functions in Python, connector to traditional BIs...Siloed data sets
(Between Market Risk, Counterparty Credit Risk, P&L)Single data environment
No size limit and a flexible data model enabling: a single source of truth, completeness, and cross data set queriesSlow and complex implementation
of regulatory metrics (FRTB-SA/IMA, DRC...)Integrated Python UDF
for self-service analytics, including pre-built regulatory calculationsVery high infrastructure and running costs
especially for in-memory solutionsHorizontal scalability
using commodity hardware on-premise and/or on CloudManual certification process
Inefficient and high operational riskSmart certification
Automated error detection and raw-level certificationKey benefits Opensee delivers
Access in real-time 100% of stored data
down to any historical trade details
Answer and analyse faster regulatory response
Cut up to 90% infrastructure costs
and fast go to Markets (FRTB DRC, ES...)
Simulate and understand the impact
of any change or new trade for your VaR or ES
Analyse any VaR/sensitivities daily jump
or long historical trends to better forecast
Analyse deeper,
manage your overall market risk faster
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We have solutions for you
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