Global Bank Modernizes Mission-Critical Trading Platform Automation
At a glance -
the essentials
Tier-1 Canadian Bank
- A Tier-1 Global Bank faced severe bottlenecks in their mission-critical trading platform. Over 7,000+ regression test cases were executed manually, creating long, inflexible regression cycles that delayed releases. A proprietary vendor tool offered poor scalability and limited coverage, while the business-critical nature of the trading system meant high risk with every manual execution cycle.
Kumaran implemented a model-based test automation strategy using Conformiq, paired with a Robot Framework-based automation backbone built in Python. Reusable models and assets were designed to minimize maintenance overhead. Automation was integrated directly into execution workflows for faster turnaround, and synthetic test data generation was enabled to further accelerate execution cycles. Strong governance and best practices were applied throughout, backed by a Conformiq partnership.
- 100% requirements and test coverage achieved
- Significant reduction in regression cycle time
- Early defect detection and faster time-to-market
- Eliminated dependency on proprietary vendor tooling
- Scalable, reusable automation assets for ongoing maintenance
From 7,000 manual test cases to full automated coverage
A Tier-1 Global Bank (Canada) partnered with Kumaran to modernize testing for their mission-critical trading platform, achieving 100% requirements and test coverage and dramatically reducing regression cycle times. The engagement combined model-based test automation, a Python-driven Robot Framework backbone, and a Conformiq partnership to deliver a scalable, governable testing solution for one of the most risk-sensitive systems in capital markets. For this bank, the stakes were never just speed - every release delay represented real trading risk and competitive exposure.
The Background
The bank's Capital Markets division operated a high-complexity trading platform that had grown reliant on manual regression testing. With 7,000+ test cases to execute each cycle, the process was slow, error-prone, and difficult to scale. The proprietary vendor tool in use lacked the flexibility needed for evolving test scenarios, and the manual dependency introduced unacceptable risk to release cadence. A fundamental shift to model-based, automated testing was the only viable path forward.
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Contact us today to learn more about our approach and the success story behind this engagement with the Tier-1 Global Bank (Canada).
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