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.
Data diving in action
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 granularity
High IT involvement
Constant requests for simple tasks
Business-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 queries
Slow and complex implementation
of regulatory metrics (FRTB-SA/IMA, DRC...)
Integrated Python UDF
for self-service analytics, including pre-built regulatory calculations
Very high infrastructure and running costs
especially for in-memory solutions
Horizontal scalability
using commodity hardware on-premise and/or on Cloud
Manual certification process
Inefficient and high operational risk
Smart certification
Automated error detection and raw-level certification
Key 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
Open and see our other use cases
We have solutions for you
Contact us and find out how we can help with your big data challenges.
Click here to ask for a demo.
