.png?width=13&height=13&name=Vector%20(1).png)

We made credit applications frictionless for digital lender Smartney
We helped Smartney with better identification of fraudsters while supporting them in releasing sales potential with a higher acceptance.
Product
Issues we resolve
Industries
User’s Lifecycle
About
General Contact
Career Opportunities
Media Inquries
Product
Issues we resolve
Industries
User’s Lifecycle
About
General Contact
Career Opportunities
Media Inquries
We helped Smartney with better identification of fraudsters while supporting them in releasing sales potential with a higher acceptance.
Industry:
Online lending & BNPLProduct type:
Enterprisehigher fraud detection for applications using Nethone signals
Improving the precision in identifying legitimate clients and scammers
Smartney is a digital lending company owned by the French Oney Bank Group. Smartney’s clients appreciate fast and frictionless consumer credit applications that can be submitted via desktop and mobile channels. Smartney uses our solution to reduce the number of frauds in two main areas: identity fraud and investment fraud.
Head of Risk
Smartney
Industry: Online lending & BNPL
Head of Risk
Smartney
Industry: Online lending & BNPL
This type of fraud most commonly occurs when a fraudster uses a stolen identity of an unaware victim and tries to use this profile to apply for money anonymously. A high percentage of fraudulent transactions and instability in fighting fraud result in growing numbers of unpaid loans. Thus digital lenders seek solutions allowing them to identify anomalies in the network connection or unusual behavior.
With social engineering techniques, fraudsters manipulate victims to get their credentials, access to their PCs (via remote desktop protocols), personal documents or even their money. Since fraudsters can hide behind the “real” identity of a person who even won’t notice the online fraudulent activity, financial institutions need profiling to recognize if they are dealing with a regular user or an excellent imitation.
Based on constant feedback and fraud reports from the client, we constantly improved the performance of antifraud models on Smartney's traffic. The key metrics - precision and recall, were enhanced by over 10p.p. each in less than a year of cooperation. That resulted in better identification of fraudsters and releasing sales potential with a higher acceptance of high-quality customers, even though a new type of fraud appeared, which had not previously occurred with this client. To answer Smartney's needs, we engineered open port detection, and a dedicated Data Scientist extracted features based on a person's place of residence and postal codes geolocalization.
We offer ready-to-go or bespoke models for data of all sizes.
We gather information and do in-depth data analysis to give you a holistic view of each of your customers.
Use an intuitive user panel, create rules, automize and customize fraud detection.
We proposed a proprietary ML model, which has been extracting over 5,000 attributes about each Smarney customer–fingerprinting their device, using remote desktop protocols, or checking their behavior to spot any repetitive patterns and abnormalities that may imply fraud. The connection graphs in the Nethone panel helped Smartney visualize and understand how fraudsters operate–their habits and behaviors. That resulted in 3 times higher fraud detection for applications marked by us than for apps not verified by our signals.
Models are constantly refined and modified by a dedicated Data Scientist based on the acquired knowledge and close cooperation with the client. And in case of any fraud attack, Nethone can quickly intervene by adapting logic to block fraudulent activity.
Higher fraud detection for applications using Nethone signals
Improving the precision in identifying legitimate clients and scammers
Industry: Online lending & BNPL
Fraud type:
Paweł Przybytniak
Head of Risk
Check how we yielded a substantial decrease in ATO incidents and other account-related scams with no harm to the user and with a low false positives rate.
Industry:
Travel, Digital goods & services
How we solved two types of fraud attacks, identity theft and investment fraud, without touching affecting UX.
Industry:
Online lending & BNPL
Luxury eCommerce
We enabled increased conversion rates and lowered the overall chargeback rate and the amount of manually-reviewed traffic for a large fashion marketplace.
Industry:
Ecommerce