London: Machine Learning & Ai in Quantitative Finance Conference, 16th - 17th November 2017

Machine Learning & Ai in Quantitative Finance Conference

London: 16th - 17th November 2017


SPECIAL OFFER: When 2 colleagues attend the 3rd goes free!




  • O. Ediz Ozkaya: Executive Director, Machine Learning Strategist, Securities Division, Goldman Sachs
  • Lawrence Edwards: Executive Director, Morgan Stanley
  • Kwasi Affum: Vice President, Regulatory Impact Assessment, Barclays
  • Miquel Noguer Alonso: Executive Director, UBS & Adjunct Assistant Professor, Columbia University
  • Abdel Lantere, Data Scientist, Quantitative Consultant, HSBC
  • Roland Fejfar: Vice President, FinTech IBD, Morgan Stanley (to be confirmed)
  • Paul Bilokon: Founder, CEO,Thalesians, Senior Quantitative Consultant, BNP Paribas & Visiting Lecturer, Imperial College
  • Alexei Kondratyev: Managing Director Financial Markets, Standard Chartered Bank
  • Ignacio Ruiz: Founder & CEO, MoCaX Intelligence
  • Claudi Ruiz Camps: Machine Learning, Deep Learning Specialist, ABN AMRO Clearing Bank N.V. 
  • Yves J. Hilpisch: Founder, The Python Quants


  • Predictive Power vs. Expressiveness of Machine Learning 
  • ModelsChallenges with opaque ML models
  • Machine Learning in Quantitative Finance
  • Changing role of quants – from derivatives modellers to data scientists
  • Machine learning in finance - Practice
  • Black-box Machine Learning: Improving Transparency
  • Learning Curve Dynamics with Artificial Neural Networks
  • Machine Learning, High-Frequency Trading and Kdb+/q for Quants and Data Scientists
  • Machine learning - Deep learning
  • What are the modelling applications which benefit from deep neural networks?
  • Financial Singularity -- Paths, Dangers, Strategies
  • Financial Time-Series Regime Detection  
  • What new insights can Machine Learning offer into the analysis of financial time series?
  • Machine Learning and Regulation: From Regulating Machines to Regulation by Machines

Conference Bookings: Discount Structure:

  • Super Early Bird Discount: 25% Until 29th September
  • Early Bird Discount: 10% Until 20th October
  • Main Conference + Workshop (£150 Discount)
  • SPECIAL OFFER: When 2 colleagues attend the 3rd goes free!
  • 70% Academic Discount (FULL-TIME Students Only)