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.
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