London: The 3rd Machine Learning & AI in Quantitative Finance Conference, 20th - 22nd March

Workshop Wednesday 20th March:

  • From Quantitative Finance to Artificial Finance by Miquel Noguer Alonso

Main Conference Topics include:

  • Derivatives Pricing & Modelling with a Machine Learning Approach
  • Inherent States of Markets
  • Identification and Forecast of Market Regimes using Machine Learning
  • Model Calibration with Machine Learning
  • Who Cares about the Platform?? (Spoiler alert – you should)
  • Fuelling the Artificial Intelligence Revolution with Gaming
  • Unsupervised Learning for Information Compression to Improve Performance and Reduce Training Time and Hardware Requirements of Multi-Task Learning
  • Quantum Machine Learning
  • Machine Learning for Trading & Hedging Strategies
  • Digital Transformation to Optimise the Trading Floor: Automatic Booking and Smart Algorithms
  • Big Data and Machine Readable News to Trade Markets
  • Quantitative Factor Investing Using Alternative Data and Machine Learning
  • From Artificial Intelligence to Machine Learning, From Logic to Probability
  • Deep Learning in Finance: Prediction of Stock Return with Long Short-Term Memory Networks
  • Deep learning of Investor Behaviour and Risk Appetite


With our Super Early Bird Discount and 3-for-2 offer you can save up to £1,430.00 per person today:

  • When 2 colleagues attend the 3rd goes free!
  • Super Early Bird Discount: 25% Until 8th February
  • Early Bird Discount: 10% Until 1st March
  • Main Conference + Workshop (£150 Discount)


Sponsorship is available in a variety of different mediums, helping to raise both your profile and brand exposure. We can fully tailor sponsorship and exhibitor packages for all your needs. WBS can connect you with the world’s leading quantitative finance experts.

  • Get your voice heard
  • Brand awareness
  • Meet the people who really matter to your company

For information about our range of sponsorship packages, please contact:

Email :

Tel: Chris Uduezue, +44 (0) 1273 201360