Description Practical application of ML in quantitative finance particularly deep learning and ancillary features such as data, controls and governance Event Type Conference, Virtual Industry Artificial Intelligence (AI), Asset Management, Financial Services, Machine Learning, Stock Exchanges Event Organizers Marcus Evans Start Date Jul 7, 2021 End Date Jul 8, 2021 Event URL www.marcusevans.com/conferences/MLQuantModellin... Registration URL Click here to register
Practical application of machine learning in quantitative finance particularly deep learning and ancillary features such as data, controls and governance
Financial firms must strike the right balance when developing machine learning so that their models are intelligent enough to provide useful information whilst also being simple enough to produce
signals that are understood and explainable. Attending this premier marcus evans forum will enable you to see the end to end value chain of developing and applying machine learning models in the financial sector by looking at the following five themes: 1. Expand data in the financial market to make machine learning deployable through alternative data sources, classification and synthetic data generation 2. Build, test and maintain neural networks and other machine learning methods for reliable, robust and trusting models in finance 3. Establish effective governance and risk management for machine learning models to mitigate the qualitative risk of using such methods in the financial market 4. Determine the role and purpose of machine learning by leveraging business insight and understanding what machine learning can do for the financial world 5. Discover the very cutting edge of machine learning with focus on the application of neural networks and quantum computing in finance
SPEAKERS INCLUDE
Sylvain Forté
CEO
SESAMm
Alexei Kondratyev
Managing Director, Global Head of Data Science and Innovation
Standard Chartered
Andrew Green
Managing Director and XVA Lead Quant
Scotiabank
Christian Schwarz
Executive Director in Data Analytics Group
Standard Chartered
Alexander Giese
Head of Quantitative and Digital Development for Trading
Unicredit
Gilles Artaud
Head of Model Risk Audit
Credit Agricole
Naveen Yeri
SVP, Head of Enterprise Analytics and Data Science (India) | Intellectual Property Executive
Wells Fargo
Cristian Homescu
Director, Portfolio Analytics, Chief Investment Office, Global wealth and Investment Management GWIM
Bank of America Merrill Lynch
