Subscribe to DSC Newsletter

Machine Learning and AI in Quantitative Finance Conference

Event Details

Machine Learning and AI in Quantitative Finance Conference

Time: November 15, 2017 to November 17, 2017
Location: Central London
Website or Map: http://quantechconference.com/
Phone: +44 (0) 1273 201 352
Event Type: conference
Organized By: Neil Fowler
Latest Activity: Oct 2

Export to Outlook or iCal (.ics)

Event Description

Pre-Conference Workshop day: Wednesday 15th November

Machine Learning in Finance : A Practical View by Miquel Noguer Alonso: UBS & Columbia University

  • Thursday 16th November: Main Conference Day One
  • Friday 17th November: Main Conference Day Two

Speakers:

  • O. Ediz Ozkaya: Executive Director, Machine Learning Strategist, Securities Division, Goldman Sachs
  • Lawrence Edwards: Executive Director, Morgan Stanley
  • Daniel Drummer: Vice President, Corporate & Investment Bank FinTech, J.P. Morgan
  • Chiranjit Chakrabort: Data Scientist | Advanced Analytics, Bank of England (to be confirmed)
  • 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
  • Andreas Joseph: Research Economist, Bank of England (to be confirmed)
  • 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

Topics:

  • 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?
  • Unsupervised Anomaly Detection in Finance
  • 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 at Central Banks
  • Machine Learning and Regulation: From Regulating
  • Machines to Regulation by Machines

Comment Wall

Comment

RSVP for Machine Learning and AI in Quantitative Finance Conference to add comments!

Join Data Science Central

Attending (1)

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2017   Data Science Central   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service