Secure your BCBS 239 compliance
The challenge: the urgency of financial transparency
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The real-time challenge during market stress: In volatile markets, aggregating exposure data can no longer take days. Regulators now expect immediate response capabilities and rapid stress-testing evidence.
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A direct impact on capital requirements: When a bank cannot prove the exact source of a figure in a regulatory report, authorities such as the ECB or the Fed may impose conservative capital add-ons, directly affecting profitability.
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The gap created by siloed infrastructure: Connecting legacy mainframes, market databases, and predictive models without central visibility creates critical breaks in the audit trail.
Benefits for your organization
Immediate reduction in audit costs
Simplify ACPR, ECB, and regulatory controls by providing ready-to-use traceability evidence instead of spending months on manual documentation work.
Regulatory capital optimization
By reducing uncertainty around data quality, you help limit conservative capital buffers imposed by regulators and improve the allocation of your own funds.
Faster strategic risk steering
Turn a regulatory constraint into a decision-making asset. Leaders can rely on certified data to react faster to market movements and risk exposure changes.
Stronger operational efficiency
Remove time-consuming manual documentation tasks. Data Stewards and risk analysts can focus on active risk monitoring instead of hunting for data.
End-to-end lineage for risk aggregation
The platform automatically maps financial data flows and intermediate transformations. This visibility helps validate the robustness of your consolidation processes and instantly trace any anomaly detected in stress-testing reports back to its source.
A single dictionary for risk concepts
Align risk, finance, and IT teams around one shared language. By centralizing calculation definitions and linking them directly to technical tables, your organization reduces interpretation gaps and ensures consistent regulatory reporting.
Embedded compliance controls and quality scores
Attach health indicators such as accuracy, freshness, and completeness directly to your data products. Control teams can visually identify weaknesses in the data supply chain before reports are submitted to authorities.
GDPR: what you do not trace can cost you
Watch our GDPR webinarFull transparency across actuarial and AI models
Document the origin, usage, and training criteria of machine learning and credit scoring models. Meet strict audit expectations around automated decision traceability and algorithmic risk control.
