Best Quantitative Finance courses (2022) ranked by Bankers

In Finance Courses & Certifications by Gaurav SharmaUpdated On:

Quantitative Finance/ Financial Engineering has earned a well-deserved reputation for a field where the smartest people like to converge. It’s a field that is populated by mathematicians, physicists, engineers and other such professionals bringing in their expertise to mathematically tackle challenges in the domain of finance. What makes it hard is the inter-disciplinary knowledge that is required. You need to understand not only finance but also mathematics, calculus, algebra, optimization (operational research), engineering elements, probability theory etc. A quant/ financial engineering career is not for everyone. But if you are a math-geek type who doesn’t mind sitting in front of a computer doing advanced math-stuff each day, then this is definitely a career for you.

It is this complexity which requires a specialised understanding and which is why universities and training providers have created such great courses for quantitative finance. Here are my top picks.

1. Quantitative Methods for Finance Professional Certificate from NYIF

Course Review

This is the most comprehensive course on Quantitative Finance outside of an MFE (Masters in Financial Engineering) degree from a top university. And even then, it provides desk-ready skills that formal university programs lack. Which is why I would recommend it even to Finance post-grads interested in becoming a quant or trader.

Topic coverage includes algebra & calculus as it used for finance, probability theory, stochastic processes, statistics, regression analysis, VBA programming, Monte Carlo and Lattice techniques including some real-world applications. All of this is topped of with a section on giving you desk-ready skills.

It’s pretty much everything you need to hit the ground running in quantitative finance role. Note that this is an advanced course, so you need to possess a basic prior understanding of mathematical concepts like calculus and probability.

The course quality itself is top-notch. NYIF is a well-known brand providing financial education to bankers, traders and other finance professionals for over 90 years now. This 5-day crash course can be really helpful if you need to prepare for an interview and the formal certification will most definitely give your CV a boost.


  • Time to Complete: 5 days.
  • Available fully online in a virtual classroom or on-site.
  • The best overall course for Quantitative Finance. Recommended for serious candidates willing to make the commitment and finance professionals looking to make a switch.

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2. Finance & Quantitative Modeling for Analysts

Course Review

If you are looking for a more beginner friendly quantitative finance course, then this is your best bet. You should choose this if you are not 100% sure this is the right field for you and just want to test the waters. But it can also be good for roles which only need some amount of quantitative finance. Most finance professionals would benefit from having this understanding.

This is course from Wharton so expect some top quality stuff here. The instructors are the best in their field and have taught people who have eventually gone on to the very top of their fields. In terms of brand value for CVV building, this one is hard to match. You get a shareable certificate upon successful conclusion of the program which you can use on LinkedIn or as a CV point.

The course covers all the important stuff like quantitative models, spreadsheets and tools and even the basics of corporate finance which is necessary to understand what exactly you are modeling. You will learn to heavily rely on data and mathematical models to solve problems in finance and make predictions based on scientific methods. There is also a hands-on capstone project that you need to complete. This will help you put all your learning into practice.


  • Time to Complete: Around 30 hours.
  • Available fully online and on-demand via Coursera’s excellent e-Learning platform. Complete it at your own pace
  • An excellent introduction to quantitative finance that is highly recommended for everyone in the financial domain.

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3. Mathematical Methods for Quantitative Finance from MIT

Course Review

This course is part of a bigger Micromasters program in finance offered by MIT. This specific module covers mathematical methods for quantitative finance but feel free to apply for any other modules that you think you need. Might even be worth it to complete the whole program.

The focus here is building the foundations of financial engineer and quantitative finance. You start off with some basic probability theory and statistics. This includes common distributions, CLT, LLN, asymptotics, statistical inference, hypothesis testing, time Dreiser, econometrics, regression etc.

You then move on to more increasingly complex topics like Bernoulli trials, Markov processes, continuous time stochastic processes, linear algebra and so on.  This course does a good job of giving learners a taste of what quantitative finance is all about. Itô calculus, differential equations, derivative pricing and risk management, covariance and correlation matrices, linear time series models etc. to help you build your quant foundation.

The last few weeks cover optimization strategies like Lagrange multipliers, multivariate optimizations, quadratic programming, dynamic programming, variational methods, portfolio construction Monte Carlo techniques and so on.


  • Time to Complete: 12 weeks
  • Available fully online. Instructor-led on scheduled dates.

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4. Financial Engineering and Risk Management from Columbia

Course Review

Another quality course from Columbia University designed to be used by quants and traders. The course is very high-quality covering concepts from finance, economics, mathematics, statistics, engineering and computer science. It’s pretty much a quant’s wet dream.

The material is presented in a highly digestive format which makes it palatable for even beginners. Quantitative Finance can be a tricky subject for many, but this course makes it seem easy.

There are actually two courses with Part 1 focusing on the use of stochastic modelling to price equity, fixed income, credit and MBS derivatives. Part 2 dives deeper into portfolio optimization, and the use of financial engineering for real option pricing and algorithmic trading. I highly recommend you complete both.

Columbia is an exceptional brand to have on your CV. On successful completion, you get a shareable certificate that you can use to boost your CV or add to your LinkedIn Profile.


  • Time to Complete: 30 hours for both Parts 1 and 2.
  • Available fully online and on-demand. Complete it at your own pace.

Check Course Details –  Part 1    Check Course Details –  Part 2

Master of Financial Engineering (MFE)


Several top universities offer MFE courses for quants and financial engineers. However, it is a big commitment (financially and time wise) and usually undertaken by professionals who already have some experience under their belts and want to further their careers. It’s also quite hard to get into the best ones.

If you fit into that profile and know that you want to be a quant for life, then you should definitely consider an MFE program. The top MFE programs are offered by:

Given the high opportunity cost of such programs, I only recommend them if you can get into one of the top schools.


  • Time to Complete: More than a year.
  • Not available online and significant time/ monetary investment.

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About the Author

Gaurav Sharma

Gaurav started his finance career as an intern in Citi’s Institutional Clients Group in 2009, eventually ending up as an Associate Director at Standard Chartered Bank’s Corporate & Institutional Banking division a few years later. By 2016, he was an independent consultant helping FinTech start-ups in London with product development and launch. Gaurav also helps banks with their digital banking initiatives and advises PE & VC firms with investments in the financial services and FinTech sectors. Gaurav writes on topics ranging from EU banking regulations and tradional finance to Blockchain startups and the future of banking itself! He has an Engineering degree in Computer Science and an MBA with a double major in Finance and Marketing. He is also a Certified Financial Risk Manager.