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Financial Services verified Verified Outcome TRL 9

Risk Management & Grid Computing

domain Client: A major Swiss multinational investment bank handshake Provider: Microsoft Azure schedule Deploy: Q4 2018 (Migration)
91 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

The bank moved its critical risk management grid to Azure to handle the massive compute spikes required for regulatory reporting (e.g., FRTB). By replacing an on-premise grid of thousands of servers with cloud elasticity, they reduced run times for risk calculations and saved significant infrastructure costs.

rate_review Analyst Verdict

"A classic 'Burst Compute' use case. Financial risk models require massive power for short periods (overnight/end-of-month). Maintaining this capacity on-premise is wasteful. The cloud's 'pay-for-what-you-use' model is perfectly aligned with this workload."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

New regulations (FRTB) required exponentially more calculations to determine capital reserves. The on-premise grid was at capacity. Building a new data center would take too long and cost too much for capacity that would sit idle 50% of the time.

psychology The Solution

The bank refactored its risk application to run on Azure Batch. This allows them to spin up 40,000+ cores instantly to run Monte Carlo simulations and shut them down immediately after. This elasticity ensures timely regulatory reporting without CapEx bloat.

settings_suggest Technical & Deployment Specs

Integrations
Trading Desk
Deployment Model
Hybrid Cloud
Data Classification
Financial Risk Data
Estimated TCO / ROI
High (Variable)
POC Summary (2017-01-01 to 2018-01-01)

"Pilot for FRTB calculations."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Sovereignty (Swiss) Critical Usage of Azure Switzerland North region (Zurich).
Latency Medium ExpressRoute direct connectivity.

trending_up Impact Trajectory

Audited value realization curve

Scaling to >40,000 cores on demand Verified Outcome
Primary KPI40% cost reduction vs on-premise
Audit Cycle100% regulatory reporting compliance

policy Compliance & Gov

  • Standards: FINMA, Basel III
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial Risk Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major Swiss multinational investment bank without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-854
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-854

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