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October 16, 2025 Content Type Case study

Designing + deploying an agile, scalable QIS platform for a leading global bank

October 16, 2025 Content Type Case study

 

Objective

A top investment bank in Europe was looking to build a quantitative investment strategies (QIS) platform to host end-to-end index management across asset classes.

Challenges

  • The existing architecture was monolithic with infrastructure distributed across services/vendors, impairing data flow, calculation accuracy and dissemination timelines 
  • The bank needed a comprehensive platform capturing data sources, data granularity, asset classes and index calculation across structures, rebalancing needs and methodologies 
  • The platform should be able to handle consistent quality of high volume and non-structured data

Our solution

We deployed a five-member team comprising specialist technology consultants and subject matter experts (functional and technical) for 12 months. The team understood workflows, evaluated technical integrations, assessed deployment pipelines and identified lacunae to develop a tailored transformation solution. The plan centred on six work-streams to design, develop and execute the target-state architecture.

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How the bank benefited

Scalability: The bank could deploy scalable, modular and future-ready architecture, adaptable to evolving market and regulatory requirements

 

Enhanced efficiency: The platform helped reduce go-to-market for new indices, while improving overall efficiency

 

 

Reliability: By leveraging our experience and domain knowledge, the bank could mitigate risks and ensure a smooth transformation, resulting in enhanced competitiveness and growth

 

Reduced costs: Transition from an opex-driven to capex-driven structure helped reduce cost and increase the inventory of indices

 

 

How the bank benefited

 

 

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