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September 30, 2025 Content Type Case study

Risk management transformation at a global bank

September 30, 2025 Content Type Case study

Stress testing to achieve efficiency and generating enhanced risk insights with Murex

Objective

A global bank wanted to migrate from its legacy trade booking and risk reporting system to the Murex platform to enhance trade capture, data integrity, stress testing and reporting. This entailed:

 

  • Streamlining front-, middle- and back-office operations across asset classes
  • Migrating trade and market data with validation from data vendors such as Bloomberg and Reuters
  • Designing a robust stress-testing framework to assess portfolio resilience in adverse market conditions
  • Ensuring consistency between legacy-system and Murex outputs during the transition

Our solution

We executed the project in two phases: Phase 1 covered derivatives, and Phase 2 extended to other products. Our team carried out the following tasks:

 

  • Data integration: Performed clean-up, migration and validation of trade data; integrated APIs for market data feeds
  • Stress-testing framework:
    • Designed six interest-rate scenarios (e.g., curve flattening, steepening at varying horizons) and six forex scenarios (spot and volatility shifts across tenures) to meet the bank’s internal stress-testing policy requirements
    • Performed data collection, PV validation, scenario generation and scenario management within Murex
  • Execution and validation: Executed stress scenarios on migrated trades, compared results against legacy systems and validated outputs
  • Reporting: Generated comprehensive outputs-base P&L, stress P&L and factor-wise impact analysis

Client impact

  • Enhanced risk insights: Clear visibility of portfolio sensitivity in multiple stress environments
  • Efficiency gains: A streamlined stress-testing cycle (daily instead of monthly previously) with reduced manual intervention; accurate report generation in minutes (versus ~1 hour previously) after execution of stress scenarios, providing sufficient time for analysis of the output generated
  • System reliability: End-to-end validation ensured accuracy of migrated data and reports
  • Strategic risk management: Assessment of mild-to-extreme stress impacts by specific risk factor improved regulatory preparedness and internal decision-making

 

 

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