Quantitative Development
QuantED Online Course
QuantED Online Course
Quantitative Development builds and runs the infrastructure the rest of a quant fund depends on. Before you write a line of production code, you learn what that infrastructure serves — so the course runs in two parts: four modules of shared research foundations, then six modules on systems — a module each on a data pipeline and a trade engine, then engineering practice and project time.
The same research foundation sessions the QR track takes. Learn the research workflow you'll be building tools for.
A worked example of a data pipeline (W5) and a trade engine (W6) — two systems every quant fund needs.
Design, scheduling, testing, and project time — going from understanding a system to being able to extend it.
Every module is a self-contained page. Work through them in order, or jump to the topic you need.
Ten modules, four phases — building from research context, through the two systems you'll study, to running them yourself.
Shared with the QR track
For the first four modules you work through the same foundation sessions as a research analyst. You can't build good infrastructure for research you don't understand — this is where you learn it.
A module dedicated to data
A full module on the pipeline that feeds every strategy — how raw market and reference data become clean, query-ready inputs for research and execution.
A module dedicated to execution
A full module on the engine that turns signals into live orders. Follow a signal end to end — from the pipeline's output all the way to a placed order.
Working inside the systems
Knowing the two systems is not the same as being able to add to them. These modules cover how a new component plugs in, how it runs unattended, and how you prove it's correct — then leave you time to build something yourself.
Modules 1–4 are the shared research foundation. Modules 5 and 6 are the QD systems modules — one dedicated to the data pipeline, one to the trade engine. Modules 7–10 are engineering practice and project time.
A full module dedicated to the data pipeline: how raw market and reference data are sourced, cleaned, validated, and stored — becoming the query-ready inputs every strategy and backtest depends on.
Module 6A full module dedicated to a trade engine. Follow a signal end to end — from the pipeline's output through order routing, risk checks, and fills — to understand how research becomes a live order.
Module 7