Jérôme Bovay

Chief Data Scientist at NetGuardians
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Recent Posts

August 29, 2023

Know your fraud: distinguishing scams from account takeovers (Part I)

When financial institutions are able to distinguish between different types of fraud, they can speed up investigations, better protect their customers, cut costs and safeguard their reputations, ...

April 13, 2023

How feedback nourishes the algorithms that starve the fraudsters

By constantly serving our algorithms with information about their performance, we are able to hone them so they remain effective in the ever-evolving financial crime landscape, writes Jérôme Bovay ...

April 03, 2023

My role at NetGuardians as a Data Scientist – Jérôme Bovay

NetGuardians is a FinTech company, so my job consists of developing cutting-edge, innovative, and robust software for banks all over the world. We protect the banks, and their customers against ...

March 07, 2022

Fraud is like art forgery – the better the copy, the better magnifying glass you need

Fraudsters have always been taking advantage of businesses’ vulnerabilities. And with the increased reliance on technology caused, cybercriminals are getting creative at targeting enterprises. Many ...

December 11, 2017

Using machine learning in fraud detection – How does it work? What are the benefits?

When combined with other anti-fraud measures, machine learning improves detection by a factor of five. The more data computers analyze, the better they will become at spotting fraudulent behavior, ...

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