A complete learning environment for quantitative software engineering — nothing fake, nothing borrowed.
QuantFoundry spans mathematics, C++, Python, algorithms, finance, statistics and systems — with problems graded by real compilers in a sandboxed runner, portfolio projects, and a career centre built from published employer research. It exists because the path is genuinely hard and badly documented: employers want math from first principles, C++ at the level of caches and memory, statistics you can apply rather than recite, and finance you can put in code — and almost nobody teaches those together, in order, with the gaps filled.
A job, a salary, or a finish date. What it does promise: pass the checks, do the exercises, build the projects, and what you know at the end is real and yours to prove.
All teaching content is original exposition written for this platform. Conventions and formulas follow standard public references (cppreference, IEEE 754, OpenStax, Python/NumPy/SciPy documentation, PostgreSQL documentation). Company research cites official career pages with retrieval dates and marks inferences as such. Mathematical visualisations are computed live in your browser from the actual formulas — nothing is a canned image.