Continuous credit revaluation across a $1.4 trillion balance sheet, replacing a quarterly batch process inherited from the 2010s.

The institution's credit risk function was running counterparty PD, LGD, and EAD on a quarterly batch cycle, with intra-quarter recalibration only on named-watchlist names. By the time exposures revalued, several macro and idiosyncratic signals had moved meaningfully — and the bank's regulator was beginning to ask why.

The internal team had built three prior attempts at continuous revaluation across the last decade. Each failed for the same reason: the model was not auditable to the standard the appointed actuary or the regulator required, and the bank's risk committee was unwilling to govern a system whose decisions could not be reproduced.

Sterling deployed entirely within the bank's sovereign cloud topology — no Voranox-operated infrastructure carries customer data. The platform integrates with the bank's existing credit data warehouse, market-data feed, and macro-signal ingestion via the bank's own service mesh.

Every PD recalculation produces a tamper-evident audit record carrying the model artifact hash, the input data hash, the policy in force, and the resulting figure. The bank's internal audit can replay any decision at any historical point with cryptographic certainty.

For the firm’s standing architectural posture, see architecture and trust & standards.