Quantitative Research Infrastructure Optimization
Key Expertise
Experience
10+ years
Timezone
CET (GMT +1)
Overview
A crypto investment fund needed to run large-scale backtests over long historical time ranges. An initial cloud-first design using managed services proved too expensive once realistic workloads were tested.
Achievements
The architecture was simplified and partially moved off managed cloud services. The final solution delivered the required compute throughput at a small fraction of the original projected cost, making the research financially viable.
Responsibilities
- Designed the initial research pipeline for time-series analysis.
- Identified cost blow-ups caused by excessive orchestration and event fan-out.
- Stopped the rollout early, explained the cost drivers to stakeholders, and proposed alternatives.
- Rebuilt the execution model using simpler scheduling and dedicated compute.
- Rewrote infrastructure-as-code and data flow to remove unnecessary stages.
Key Expertise
Experience
10+ years
Timezone
CET (GMT +1)
This project was delivered by
Anton O.
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