When markets face turbulence, strong, long-term partnerships become critical. A trusted partner can help navigate uncertainty and adapt when standard models and rules stop working — and there’s no time to build new ones from scratch.
Partnership with JuicyScore
JuicyScore is proud to work with partners that have been with us since day one — growing together and driving the industry forward. One such partner is Robocash Group (known in Russia as MFC Zaymer). Robocash leads the microlending market in Russia and has a strong presence in six other countries.
Through this partnership, JuicyScore delivers fraud prevention and credit risk assessment tools that help Robocash filter out high-risk applications and minimize losses. The JuicyScore team also supports investigations into suspicious applications and complex fraud cases.
In early 2020, experts from both companies analyzed the MFC Zaymer portfolio to identify and block fraud patterns. As a result, new anti-fraud rules were developed using JuicyScore’s data vector — combining risk scoring, high-risk markers, connection anomalies, and unique parameters for risky browsers and devices.
Arvis Strods, CRO of Robocash Group, says:
“JuicyScore helps us detect at least 75% of high-risk applications in our online flow. Its data vector strengthens our decision engine — cutting bad loans and helping us identify good borrowers when traditional data falls short. The data ROI reaches at least 15 times on application inflows in Russia and other markets.”
About Robocash Group
Founded in 2013, Robocash Group is an international financial group specializing in alternative consumer lending and marketplace funding across Europe and Asia. It develops fully automated, AI-powered financial services for microlending in Russia, Kazakhstan, Spain, the Philippines, Indonesia, Vietnam, and India, and runs its own P2P investment platform in the EU and Switzerland.
As of August 2020, Robocash serves over 11 million borrowers worldwide, with total loan disbursements exceeding $743 million. Its in-house products use artificial intelligence and machine learning to deliver precise risk management, fast service, and high business efficiency.
Key Results
“JuicyScore helps us detect at least 75% of high-risk applications in our online flow. Its data vector strengthens our decision engine — cutting bad loans and helping us identify good borrowers when traditional data falls short. The data ROI reaches at least 15 times on application inflows in Russia and other markets.”
Arvis Strods, CRO of Robocash Group
