Risk in Capital Markets

Use Cases

Risk in Capital Markets

Opensee allows you to explore the full depth of data in real time, build user-defined functions in order to manage risk more efficiently and proactively.

Flip the cards and see how we address these common pain points

Limited access to Granularity & History

for Sensitivities, VaR...

Access to all data

No compromise between history and granularity

High IT involvement

Constant requests for simple tasks

Business-user empowerment

Intuitive UI, connector to traditional BIs, low code API, user-defined functions in Python

Siloed data sets

Between Market & Credit Risk, between Front Office & Risk & Finance

Single data environment

No size limits and a flexible data model enabling: a single source of truth, completeness, and cross dataset queries

Slow and complex implementation

of new regulatory calculations, metrics like FRTB (SA/IMA)

Integrated post-processing

Python-based user-defined functions and pre-built templates

Very high infrastructure costs

for in-memory solutions

On-disk technology

Achieve horizontal scalability using commodity hardware

Manual certification process:

inefficient and high operational risk

Smart certification

Automated error detection and raw-level certification

Key benefits Opensee delivers


Full trade data access


Regulatory response with targeted analytics


Infrastructure cost savings vs. in-memory solutions


Go-to-Markets on key projects (eg FRTB DRC & ES...)


Savings on the entire certification process


Management of capital charges

Open and see our other use cases

Open and see our other use cases

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