(Machine) Learning to Detect Fraudsters

Sep 18, 2017 · Chicago, United States of America

Join us as we kickoff of our first, regular tech talk series. Mingle, learn, and hang out with ThoughtWorkers from our Chicago Office. 


6:00pm --- Doors open for refreshments and networking

6:30 - 7:15 --- TW Consultants Sarah LeBlanc and Hany Elemary talk about (Machine) Learning to Detect Fraudsters. 

7:15pm - 7:25pm --- Speaker Q&A

Light refreshments and snacks will be served.  

Talk Description

A long-term client recently tasked us with an interesting and challenging problem; detecting credit card application fraud at a global financial institution. Much like hackers, fraudsters are always changing behavior. To keep up with their tricks, the detection algorithms (“models”) need to be updated continuously.

The client’s current practice of relying on third-party vendors to manage these models is slow, expensive, and time-consuming.  The longer these models go without updating, the less effective they become, losing money and valuable customers to undetected fraudsters.

Our task was to devise a process to improve their fraud detection with a sophisticated machine learning workflow that empowers data scientists to rapidly and iteratively design, develop, and productionalize new models.

Join us for a unique talk where Data Science meets DevOps culture to productionalize machine learning fraud detection models. After this talk, you will understand how data science algorithms can drive effective models, and how we are applying various technologies at a global corporation to create an extensible platform for more than just application fraud.

Speaker Bios:


Hany Elemary is a Software Consultant at ThoughtWorks, where he works with tons of passionate technologists. Hany’s passion is solving challenging business problems through clean, testable design and architecture. Over the past 11 years, Hany worked on different layers of the technology stack for highly trafficked applications. Most recently, he authored a video series on “TDD with React and Redux in an Isomorphic Application.” When he’s not chained to his computer, Hany enjoys traveling to new places and sipping on coffee with no lid, as he firmly believes the lid compromises the integrity of the coffee’s flavor profile.


Sarah LeBlanc is a Software Consultant at ThoughtWorks. She has spent the past two years at one of our largest clients – a global financial institution – creating a platform and its first product, a new system for consumer loans. Sarah finds the most joy in coaching and mentoring other developers and learning from her fantastic team members. Outside of work, she mostly enjoys reading, hitting the gym, and cooking. She also enjoys having a variety of debates with co-workers, accepting defeat in the face of sufficient evidence, but to date continues to recognize the merits of coffee lids.

Event organizers
  • ThoughtWorks Tech Talks Chicago

    ThoughtWorkers have always been active in tech user groups and we’ve hosted countless Meetups in our offices around the world, so we decided it’s time to start a group of our own. Join us in our Chicago office for the kick-off of our new Tech Talks Meetup group.  Our aim is to share our thinking about emerging technical trends, and -- as always -- inspire debate and conversation. You’ll find an open, comfortable environment for technologists to meet and discuss recent developments in the tech world, projec

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