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Financial Applications

Past Presentations

Applying AI/ML for Trusted Commerce Connections @Facebook Marketplace

Facebook Marketplace is aimed at making buying and selling seamless for people locally within their communities and open up economic opportunity through social commerce. Given that Trust is a key driver of consumer decisions in Commerce, it is important for Facebook to build trust amongst buyers...

Liza Fireman Engineering Manager @Facebook Marketplace Trust & Safety
Microservices for Growth at comparethemarket.com

comparethemarket.com have been running Kubernetes in production for over two years. But the journey has not always been straightforward. Most real stories of growth involve several generations of architecture, repeated accruals and repayments of technical debt, piling up of layers of technology...

Kenichi Shibata Cloud Native Architect @comparethemkt
Adam Stewart Solution Architect @comparethemkt
Applying Machine Learning to Financial Payments

This presentation discusses how Machine Learning can be applied to Payments to respond rapidly to known and emerging patterns of fraud, and to detect patterns of fraud that may not otherwise be identified.  It will cover techniques that have been used and are emerging in fraud detection...

Tamsin Crossland Senior Architect @iconsolutions
Panel: The Correct Number of Microservices for a System Is 489

New research from the University of Sledgham-on-the-Wold has revealed that the correct number of microservices for any software system is exactly 489. Given that, why have so many organisations used a different number of microservices? More seriously though... every situation is different, and...

Suhail Patel Backend Engineer @Monzo
Jason Maude Lead Engineer @StarlingBank
Nicky Wrightson Principal Engineer @Skyscanner
Sarah Wells Technical Director for Operations and Reliability @FT (Financial Times)
Policing The Stock Market with Machine Learning

Neurensic has built a solution, SCORE, for doing Trade Surveillance using H2O (an open-source pure Java Big Data ML tool), Machine Learning, and a whole lot of domain expertise and data munging. SCORE pulls in private and public market data and in a few minutes will search it for all sorts of bad...

Cliff Click CTO @Neurensic
Low Latency Trading Architecture at LMAX Exchange

Building a financial exchange like the one that LMAX Exchange operates presents a unique challenge. Our customers trade over $2 trillion a year through our platform, while demanding low and predictable latency with ever increasing volumes of transactions. In this talk we will present an overview...

Sam Adams Head of Software Engineering @LMAX Exchange

Interviews

Will Jones VP of Engineering, @Habito

Habito: The Purely-Functional Mortgage Broker

Tell me about the work you are doing.

Habito is changing the way mortgages work in the United Kingdom. It's quite a complicated process to work through. About 70% of the market is intermediated, so it's a good place to build a consumer-friendly brand and fix problems like not being able to understand what an appropriate mortgage looks like or how repayments work -- in...

Read Full Interview
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