Waters Wavelength Podcast Episode 86: Nasdaq’s Use of Machine Learning & T+2 Comes to North America
Joakim Strid joins the podcast to discuss how Nasdaq is deploying machine-learning techniques for surveillance. Then Emilia David joins the podcast to discuss T+2’s launch in the US, Canada, Mexico and Peru.

Anthony Malakian, US editor of Waters, and James Rundle, news editor of Waters, record a weekly podcast touching on the biggest stories in financial technology.
On the podcast, James first interviews Joakim Strid, head of European surveillance at Nasdaq, about how the exchange is incorporating machine learning into its surveillance program. They then discuss how AI is set to change surveillance as a whole in the years to come. After that interview, Emilia David, US reporter for Waters, joins James and Anthony to discuss how T+2 came about in the United States. Then finish things up by discussing must-watch TV for the fall now that Game of Thrones is over. [Editor's note: We apologize for the sound quality on Joakim's interview; he was in Chicago and had to call in. It's worth listening to, though, because the material is very interesting and informative.]
Nasdaq & Machine Learning
2:30 Joakim first talks about how Nasdaq is using machine learning to surveil its Nordic marketplace.
5:15 He then looks at how the machine-learning algorithms work.
7:30 Why are machine-learning techniques useful when compared to existing techniques?
8:45 Joakim explains the genesis of the project.
10:45 Finally, he looks at what the possible future of machine learning holds for the surveillance sector.
T+2
14:00 What were the roadblocks keeping T+2 from being a reality in the US?
15:30 Why was this transition so difficult?
18:15 How long until T+1? T+0?!
Misc.
23:30 TV shows you should start watching today.
Contact Info
As is the case with everything we do, we'd love to get some feedback from our listeners. Feel free to reach out to Anthony via Twitter or email.
Anthony: @a_malakian; [email protected]
James: @JimRundle; [email protected]
Past 10 episodes:
Episode 76: Radziemski Talks Machine Learning, Robotic Process Automation & Public Cloud Adoption
Episode 77: A Look at Mifid II Developments & the Use Cases for Behavioral Analytics
Episode 78: JavaScript Challenges & CFTC Revisits Reporting Regs
Episode 79: IBM's Major Moves & FCA Worries about Mifid II Readiness
Episode 80: All About Digital Currencies (And Some Libor, Politics & Game of Thrones)
Episode 81: Fintechs in the Regulatory Crosshairs & Brexit Fallouts
Episode 82: An Examination of ESG & What's New With Reg SCI
Episode 83: Systematic Internalizers & RegTech
Further reading
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