CFM's strategic migration to AWS for scalable quantitative trading operations

Context
Capital Fund Management (CFM) is one of the largest hedge funds in France, with more than 350 employees in Paris, London, New York and Toronto and over $20 billion in assets under management. A pioneer in the field of quantitative trading applied to financial markets, their methodology relies on statistically robust analysis of petabytes of financial data for asset allocation, trading decisions, and automated order execution. This approach requires large amounts of computing power.
CFM's strategy to strengthen its market leadership by drastically increasing the size of its operations and geographic presence has led to saturation of its on-premise HPC clusters. As such, CFM aims to be able to scale out to AWS as soon as its on-premise resources are exhausted, with the aim of increasing the availability of computing resources and boosting the search for new investment strategies.
Objectives
- Migrate daily production simulations to AWS, increasing its number while keeping a strict running time cap
- Migrate complex portfolio optimization processes to AWS, liberating on-premises resources and reducing the running time
- Protect CFM's IP by implementing strict security measures
- Reduce costs for less frequently run workloads by leveraging AWS on-demand hyper-scaling capabilities

Results
- Daily simulations are able to accomodate an increased number of processes while being executed in the time it takes to run the longest process
- Portfolio optimization is able to burst to AWS elegible tasks, reducing the total running time by 80%
- The on-premises HPC cluster is no longer saturated
- Costs are proportional to actual usage and no longer dependent on peak load provisioning
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