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.’
As such, we have gathered together top industry leaders such as Deutsche Bank, Standard Chartered, Wells Fargo and Unicredit amongst others, to share their best practices.’
The senior level nature of our delegates allows us to unlock the value of their collective experience through engaging delivery formats and a mix of both formal and informal networking. Our delegates are top decision makers, quantitative strategists, Heads of Investments, Heads of Model Risk and Chief Data Scientists’ e.t.c.’
‘Attending this premier marcus evans forum will enable you to see the end to the 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 a focus on the application of neural networks and quantum computing in finance’
Practical application of machine learning in quantitative finance particularly deep learning and ancillary features such as data, controls, and governance’
For more information, such as the agenda, registration process, and discounts (that may apply) please contact Ayis Panayi, Digital Media and PR Executive on ayisp@marcusevanscy.com. Looking forward to welcoming you to our event
