Quantt review: Interactive quantitative finance, maths and coding courses taught in the browser

What Quantt does

Quantt is an online learning platform for people who want to move into quantitative finance. Instead of watching videos, learners write code in an in-browser Python editor, run it against automated tests and get immediate results. The editor comes with NumPy, Pandas and SciPy already installed, so nothing has to be configured locally.

The curriculum is split into three streams that the site says are taught together: Finance, Mathematics and Technology. Topics named on the homepage include derivatives pricing, stochastic calculus, market microstructure, risk, Monte Carlo methods, Python, C++, databases and more. Lessons mix notes, quizzes, exams and coding tests, and there is a glossary available inside each lesson.

Beyond individual lessons, Quantt offers guided build projects, among them a trading engine, an options pricer, a portfolio optimiser and a factor model. For job seekers there are timed coding tests, mock exams and interview preparation guides organised by firm.

Pricing is subscription based. The Monthly plan costs £39.95 per month billed monthly and covers all three streams. The Annual plan is listed at £249.95 per year, with the page stating a saving of £229.45 (47% off), and adds projects, timed tests, mock exams, interview prep and priority support. An Enterprise plan for teams has custom pricing via sales. All paid plans carry a 30-day money-back guarantee.

• In-browser Python editor with NumPy, Pandas and SciPy
• Automated test suites with instant feedback
• Three streams: Finance, Mathematics, Technology
• Notes, quizzes, exams and coding tests in lessons
• Guided build projects such as a trading engine and options pricer
• Timed coding tests and mock exams
• Firm-by-firm interview preparation guides
• Glossary available in every lesson

Our take

Quantt suits people who learn by writing code and want one place that connects finance, maths and programming, particularly those aiming at quant interviews who can use the build projects and timed tests. The vendor expects some Python knowledge up front, so total beginners to programming may need to prepare first. There is no free plan listed, so you commit to a subscription, although the 30-day money-back guarantee reduces that risk. The annual price is shown only as a yearly total, which makes direct monthly comparison a manual step. Everything runs in the browser, which is convenient but means no offline or native app is described.