Market Risk
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

We have solutions for you

Contact us and find out how we can help with your big data challenges.
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