What We Do Differently

There is no shortage of quant finance material. There is a shortage of material that shows you what happens between the theorem and the trade.

The Problem With What Is Out There

Courses built by academics teach the model. Courses built by coders teach the syntax. Textbooks give rigour without implementation; tutorials give code without understanding.

None of them prepare you for the moment that actually matters: sitting in a model review and explaining why your number is right. Not what formula you used — why the measure was the right one, why the curve was appropriate, what you tested, and what would have to be true for you to be wrong.

That moment is where a quant is judged. It’s what we build toward.

What We Believe

Derivations are worth doing properly

Skipping to the result teaches you to recognise a formula, not to use one.

The derivation is where the assumptions live — and the assumptions are what break.

A price you can’t validate isn’t a price

Anyone can produce a number. The skill that separates practitioners is knowing whether to trust it: parity checks, martingale tests, convergence, benchmarks.
 
Every module ends with a suite a reviewer could re-run.

Code you can run beats code you can read

Every implementation is a working notebook, structured as it would be in production.

You run it, break it, extend it. Nothing is pseudocode.

Textbooks and desks disagree, and we say where

The Feller condition fails on most calibrated parameters. Hagan’s SABR misbehaves at low strikes. CDS-implied intensities run at twice historical default rates.

Those gaps are where mistakes happen, and we cover them explicitly.

Whatever Your Level

Modules are dense and independent, which means they work differently depending on where you are.

Moving into quant work

You get the derivations in full, with nothing assumed and nothing skipped —
the material that interviews actually test.

Already working as a quant

You get the implementation detail and the failure modes: which discretisation
breaks where, which approximation stops holding, what a reviewer will ask.

Senior, covering new ground

You get a fast, rigorous path into an area you don’t work in daily, without
wading through a textbook to find the ten pages that matter.

How Modules Work

Each module takes one problem and runs it end to end — derivation, implementation, validation. They’re independent, so there’s no syllabus to work through and no order to follow. Take what you need.

New modules are released continuously across derivatives pricing, stochastic calculus, XVA, volatility, rates, credit and model validation.

Start With Something Free

The Quant Reference Card — four pages covering stochastic calculus, measure change, the models you’ll meet, discretisation, rates, credit and XVA, with the practitioner notes that don’t make it into textbooks.

Or read the blog. Most of what we teach shows up there first, in shorter form — a fair sample of how the material is written.