FAQ

Everything you’d want to know before buying a module — what’s included, what background you need, and how it works.

WHAT IS THIS

Practitioner-led modules on quantitative finance — how pricing, risk and XVA models are actually derived, implemented and validated. Every module runs from first principles to working, tested Python.

The material is written by someone who has built these systems inside a bank, not summarised from a textbook. That shows up in the details: which discretisation breaks where, which approximation stops holding, what a model reviewer will ask.

Textbooks give rigour without implementation. Tutorials give code without understanding. We do both, plus the judgement in between — the part that decides whether your number is defensible.

WHAT YOU GET

Full derivations, structured Python implementations, exercises with worked solutions, and executable Jupyter notebooks you keep. Every module ends with a validation suite — the tests that prove the number is right.

Yes. Every notebook is yours to download, run, adapt and reuse in your own work. The exact code shown in the videos, fully documented.

Yes, and deliberately so.

Everything that matters — the models, the derivations, the code, the choices about what’s worth teaching — is written and validated by a practitioner. What’s synthesised is the delivery.

We chose it for three reasons. Consistency: every module sounds the same, so switching between topics doesn’t mean adjusting to a new voice or pace. Clarity: neutral pronunciation, no accent to parse, no mumbled technical terms — which matters when the content is dense and much of the audience isn’t listening in their first language. And revisions: when a derivation is improved or an explanation sharpened, we re-render that section rather than re-recording an hour of audio. The material stays current instead of frozen at the day it was recorded.

The trade-off is that you don’t get a human voice. We think that’s the right trade when the alternative is spending production time on audio instead of on getting the mathematics and the code right.

Yes. Once you buy a module it’s yours, including any updates to it.

IS IT FOR ME

Aspiring and working quants, quant developers, risk and model-validation professionals, and engineers or graduate students moving toward a pricing role.

If you can read a mathematical derivation and write Python, you’re ready. Basic probability and calculus help. No prior derivatives experience is required — the derivations start from first principles.

Modules are independent and dense. If you work in rates and want a fast, rigorous path into credit or XVA, that’s exactly the use case — the material that matters without wading through a textbook to find it.

Directly. Risk-neutral valuation, the change of measure, martingales, Monte Carlo and validation are standard interview ground, and the emphasis on defending a number is what technical rounds test.

PRACTICAL

Yes. Modules are available and released continuously. Each is independent, so you take what you need rather than working through a fixed syllabus.

Derivatives pricing, stochastic calculus, Monte Carlo, volatility modelling and calibration, XVA and counterparty risk, interest rate and credit modelling, and model validation.

English.

No. The focus is capability rather than accreditation — a working, tested pricer you built yourself is better evidence than a certificate.

Because modules are digital and access is immediate, all sales are final once you’ve accessed the content. Read the module description carefully before buying, and get in touch beforehand if you’re unsure whether it’s right for you.

STILL DECIDING?

Start with something free. The Quant Reference Card covers stochastic calculus, measure change, models, discretisation, rates, credit and XVA in four pages — 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. 

Still have questions?

For general inquiries, please visit Contact.