Future Prospects for Applications of Quantum Computing in Finance

Topic repeated at 2 different times, please join the session that is best suited for your time zone.
The talk will encompass applications across risk management, portfolio optimization, and machine learning. Algorithms will be discussed at a high level of technical detail and there will be time for questions and answers. The algorithms covered will include quantum amplitude estimation for risk analysis, quantum optimization, and quantum kernel estimation methods for machine learning.

Note that this is part 5 of an 8-session series on Quantum Computing on Mar 22/23, Apr 5/6, Apr 19/20, May 3/4, May 17/18, May 31/Jun 1, Jun 14/15, Jul 5/6. The sessions are not prerequisites for each other, and are not recorded. We will provide reference links and do quick recaps of previous content as required, so if you miss an earlier session, you can still get value from subsequent sessions.

Presenter: Dr. Noelle Ibrahim

Dr. Noelle Ibrahim is a global IBM Quantum Industry Consultant for the Banking and Financial Markets industries. While at IBM she has worked with financial institutions globally to help them address the quantum use cases of greatest relevance to them, has published 3 peer reviewed papers and submitted one patent application.

Prior to joining IBM, she worked across verticals within the financial services sector, leading major transformational risk initiatives including stress testing and IFS9. She has also worked in derivatives pricing, including vanilla and exotic options and modelling of cash flows from structured investment vehicles. She also has experience in the Fintech industry where she worked for a start up applying AI to art as an asset class. She has a depth and breadth of experience in quantitative finance, including quantitative models for Value at Risk (VaR), CVaR, Black-Scholes, Exotic Options pricing and back-testing, credit risk models for PD,EAD,LGD and more.

Noelle has a Ph.D. in Applied Physics from Columbia University, specializing in Quantum Monte Carlo methods for modelling classical and quantum systems. She also holds an M.Sc. in Quantum Optics and Condensed Matter Physics from the University of Toronto and a Bachelor’s degree in Physics from the University of British Columbia.

***
Please join us at the session that is best suited to your time zone. Note that this topic is:
1. Repeated at two different times to accommodate various time zones, because it is
2. Posted simultaneously in multiple meetup groups world-wide
***
It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rc3fdf1843fd8a138b94097ed4ade14b7