Engineer a professional-grade algorithmic research platform with versioned data, experiment tracking, scalable backtesting, validation gates and review workflows.
Duration10 weeks
LevelAdvanced
Modules10
Lessons40
This course covers the systems that make systematic research trustworthy at scale. You will build point-in-time data stores, experiment tracking, parallel backtesting, standardized validation gates and reporting pipelines, then connect them into a governed research workflow. The capstone is an end-to-end research platform that lets a team propose, test, review and archive strategy research reproducibly.
10 modules · 40 lessons · 10 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Build a point-in-time security master and price store with versioned snapshots
Create an experiment tracking service and a parallel backtest runner
Deliver a capstone research platform with validation gates and automated research reports
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
10 weeks10 modulesPractice quant research the way professional teams structure it: rigorous hypotheses, point-in-time data, factor-aware testing, validation, peer review and decision memos.
8 weeks8 modulesDesign and build an event-driven trading system architecture with message queues, state management, risk services and replayable simulations shared between research and paper trading.
10 weeks10 modulesEngineer large-scale financial data systems with point-in-time correctness, bitemporal storage, streaming pipelines, data quality controls and governed access.
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