HSBC: Embracing the cloud to lower risk exposure through rapid insight and analysis capabilities

Use case typeRisk assessmentUpdated Jun 3, 2026

Global bank HSBC launched a new scenario risk-modelling tool on Google Cloud for the risk management and trading teams. The tool supports intraday, self-service scenario analysis and helps users assess portfolio risk, capital requirements, and default-risk exposure.

Organization
HSBC
Industry
Finance
Published
June 2026

Reported outcomes

16x

what-if risk simulations speedupTime & speed

−93.8%scenario runtime reduction

Strategic outcomes

Better decisions & insightEnabled intraday risk decision-makingScale & capacityAllowed many users to run unlimited scenarios on demandOther strategic outcomeImproved capital and risk-weighted asset managementInnovation & cultureEstablished an agile delivery model for fast production rollout

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

  • 1Risk assessment
  • 2Real-time analytics
HSBC's fixed-income risk teams ran manual what-if scenario simulations on on-prem hardware, with each scenario taking around four hours and limited capacity for high-volume modeling.
  • HSBC built the Risk Advisory Tool on Google Cloud to run many scenario simulations in parallel.
  • BigQuery is used to combine and analyze large volumes of data in one place.
  • The platform gives traders and risk managers self-service access to run scenarios and review results quickly.
  • What-if risk simulations run 16x faster than before.
  • Scenario outputs are available in about 15 minutes instead of roughly four hours.
  • Hundreds of users can run as many scenarios as they need and make intraday decisions faster.
  • Trading teams can assess capital requirements for rating downgrades and default risks more efficiently.
  • The capability moved from paper to production in less than five months.
Sources & evidence1
Groundedness: 4/5Type: Customer StoryPublished: Jun 3, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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