Education

Quants Hub Education

The Quants Hub is a comprehensive online platform for Quantitative Analysts, Risk Managers, Structuring and Trading Desks, Model Validation, Programmers & Developers, Financial Engineers & Treasury Desks. This empowers you and your institution to create an individualised bespoke educational library. Use the Quants Hub as a learning resource for your team, University or as part of your companies learning & development strategy.


The Quants Hub offers a wide range of learning and development solutions, including In-House Training. 

Our expert portfolio of presenters cover the following topics:

  • Inflation and Inflation-Linked Products 
  • FVA / CVA / XVA / DVA / KVA
  • OIS Discounting / Collateral Management / Collateral Optimisation
  • Interest Rate Modelling
  • Credit Risk Management
  • FX Options
  • Systematic Trading
  • Equity Derivatives
  • Bank Treasury Risk / Liquidity Risk
  • FTP / ALCO
  • Monte Carlo simulation
  • Options Pricing
  • Contingent Capital (CoCos)
  • Bitcoin
  • Blockchain
  • Fundamental Review of the Trading Book
  • Algorithmic Trading

Self-Paced Courses:


  • Self-Paced Fundamental Review of the Trading Book by Christian Schmaltz
  • Self-Paced Algorithmic Trading Strategies Workshop by Nick Firoozye
  • Self-Paced Python for Finance by Yves J. Hilpisch
  • Self-Paced Advanced C++ Design and Implementation in Quantitative Finance by Nick Webber
  • Self-Paced Creating PDE/FDM Software Frameworks and Applications in C++11 by Daniel Duffy
  • Self-Paced F# and Functional Programming in Finance by Tomas Petricek
  • Self-Paced Matlab – An Introduction for Financial Applications with Jörg Kienitz
  • Self-Paced Advanced C# 5.0 by Daniel Duffy
  • Self-Paced R in Finance by Joris Meys
  • Self-Paced Mathematica / UnRisk with Michael Aichinger

To enquire about our In-House Training services, please click here.