For those of our clients who face difficulties in building risk management teams, we have developed JuicyScoreAI. It is a brand-new tool designed to automate the process of building custom anti-fraud scoring and selecting optimal variables.

While anti-fraud tools keep strengthening, they become more and more effective. Oppositely, fraudsters are looking for new ways to skirt online fraud measures. Over the past few years, remote access technology has been on the rise among hackers, triggered by the rapid development of online digitalization.

Modern online companies need not only to find new channels to attract customers and sell their services in the market but also to be able to analyze the quality of these channels and assess the associated risks.

Driven by digital innovation and changing consumer behavior, the financial technology industry saw strong growth in 2023. Fintech companies are significantly changing the financial services landscape. They introduce new cutting-edge technologies that feature customer-centric value propositions delivered via agile and versatile teams. Today, we want to highlight the top financial technology trends that could reshape the financial sector in 2024.

Relatively recent widespread use of two-factor authentication (2FA) or multi-factor authentication (MFA) has become commonplace for many online businesses. If you are reading this article and planning to implement 2FA-based solutions in your online business, we can definitely say that this step will bring significant benefits to you and your customers.

Technological agility helps fintech leaders to stand out from competition and increase the market share. Strong and reliable partners make this growth even more sustainable and significant. ID Finance in Mexico (MoneyMan brand) has been cooperating with JuicyScore, risk management and antifraud leader, for the last 3 years.

Automatisation in Risk Management has long been a necessity - risks in online business keep growing immensely, while manual data processing is unable to guarantee effective protection from online fraud.

We are constantly searching for cutting-edge informative data, which provide our clients with the opportunity to assess credit and operational risks really effectively. We discover new attributes, which improve quality

Virtual machine may be a great instrument for dealing with issues related to data protection and safe program delivery, code testing, software performance research. However, the use of such technologies

Along with the opportunities global digitalisation has brought us risks. The emerge of a large number of online businesses inevitably leads to a fraudulent traffic increase. Based on our experience

For many years we have been working really hard to ensure our products bring maximum benefit in terms of borrowers evaluation and risk assessment. In many financial institutions, micro lending

Dear friends and partners! We are delighted to inform you about one of the most important events of this year: we have released a new set of products, combined into

Covid-19 pandemic has fundamentally affected the development of many online and offline businesses and healthcare has become an area of massive interest. Experts believe that embedded finance platforms for healthcare

It is really important for any online business to be sure that behind every new account there is a real new user of a product. However, it is not always

BNPL market is now growing by leaps and bounds and investors keep showing that they are really interested in it. According to Grand View Research , by 2028 market size is

One of the fundamental principles which guide our working process is a constant search for useful and informative data, which help our clients and partners to achieve better results in

Online companies are constantly searching for the new methods of customer acquisition as well as new ways of services provision on the financial market. However, speaking about online business in

With the development of online services and the emerge of numerous financial products on the market, the number of companies ready to render these services also increases dramatically every year.

Dear Friends! JuicyConf 2021 was held 8-10 September, it was devoted to the new trends and risks in digital risk management. All the guests who attended the event — risk managers

Most companies that create antifraud solutions for online business do not disclose their methods and technologies of high risk patterns and behaviour markers identification. We at JuicyScore have different point

Despite a slight slowdown in microfinance sector during the pandemic period some experts prognosticate the rapid growth of microfinancial industry in the next 5 years due to the rise and

The past decade has seen a series of technological breakthroughs which opened many opportunities for the fintech industry and took it to new heights. The Covid-19 pandemic has had a

Dear friends and partners! We are proud to inform you about a remarkable event of this year: a few days ago we launched a new generation of JuicyScore API. We

We always pay attention to the details related to the business of our clients and also try to keep abreast of the latest trends in the data market to make

Fraud prevention, as management of all other types of risk, is an endless process of improvement and technological development. This allows financial institutions to invent additional tools for decision-making system

In times of crisis, when the markets drop, one of the key goals of any company is to maintain long-term and time-tested partnerships. This is especially important when the crisis

We are pleased to announce the launch of the next generation of our JuicyScore product - APIv12. The new generation is not just a serial number increased by one, it is a number of important changes to the product in terms of its information value and effect for our partners and customers. Our approach remains unchanged - we do not use any personal data and direct customer identifiers and continue working on Internet security for financial market.

Today, when technology is developing rapidly, and people are more and more immersed in the world of mobile devices, there is more and more talk that traditional service providers, especially financial ones, will give way to young and more mobile fintech companies (online lenders and neo-banks). In addition to fintech companies that have already become part of the financial services world, we should not forget about large Internet companies, both global (Google, Amazon, Facebook and Apple, so-called GAFA), and local, which have a large share in each separately selected country or group of neighbouring countries, for which financial services are not the main and significant source of revenue. These companies have accumulated a huge client base and an array of information for each client, and they already offer various financial services that were previously considered traditionally banking.

The information is an extremely valuable resource in the 21st century. The amount of information on the Internet increases each year and various methods are used to process these data arrays. Today we will focus on three concepts: artificial intelligence (AI), machine learning (ML) and deep machine learning (DML). There are still a huge number of methods that are used by data analysis specialists and experts, and the purpose of this article is not only to explain the features of these concepts, but also to show successful examples how some methods can be applied to solve practical problems to prevent fraud risk.

With the development of technologies, human life is accelerating in  all areas: we have to process a lot of information on our way to the  office, while waiting in the queue for a cup of coffee and even while  reading a book to your child. We are precipitately switching to mobile  devices to keep up with our working processes and we turn on our PCs  less and less often. Read in our new article how to maintain sales on  the same level or even increase them and reduce risks while living at  this tempo.

In November 2019 we were demoing at Finovate for the third time – it was Finovate Middle East in Dubai. Similar to previous Finovate conferences which we had honour to be invited in 2018 we keep showing non-personal data efficiency and secure use of biometry for authentication and risk evaluation.

The modern world has moved online since years, having extended and in some spheres even completely taken the place of the offline reality. We can now see an interesting line of thinking in some contemporaries’ discourse — if you cannot find any information about something on the Web, for most people it will mean this thing does not exist at all.For many of us, the search and easy finding of a product or a financial service on the Web starts by touching the browser icon on our smartphone, yet few people ever think about the way the request goes, which server logs the information about it remains in, which DNS server would open the way to the required web resource, and all that happening behind the scenes. Even less people think of the risks that may lurk in wait during Internet surfing.

Previously, we have been covering mostly the banking peculiarities of a financial business and its regulations. Since beginning of July such changes have come into force directly concerning microfinance market and changing the operating conditions of the microlenders. As a partner of several market players on this field, we wish to share our vision and tell how we could be useful in response to the new upcoming challenges.

We are glad to introduce our new big API update launch. We have focused as usual on raising impersonal data informational value for better decision-making. We have significantly raised the service value using new data, new device authentication technologies and more powerful fraud prevention score.

Last year Russia showed unprecedented speed of credit obligations growth. The total outstanding balance for all types of loans reached 14.9 trillion rubles. The speed of lending growth is still high which leads to new challenges for risk management. Debt refinance and consolidation programs offered by financial institutions and regulator’s actions aimed to control the debt burden are the evidence of general concern.

We’ve been telling enough about the advantages of alternative data and risks associated with collecting conventional data on your borrowers. Today we will demonstrate how personal data usage can not only turn into risk and damage for the financial institution’s working process but also spell disaster for the whole business. We will draw on several cases from our experience, which are: Seasonal Aggravations, Fraudulent Brute Force Attacks, and the Black Swan. What are these risks and how to get protected?

At the end of October, we had the honor to speak at the Finovate Asia 2018 conference! Like a few months earlier, we continue to demonstrate the efficiency of non-personal data, telling about the successful resolving of client authentication and risk reduction tasks through device and user network behaviour analysis.

In February, we published an article about how the psychotype affects credit service users financial behavior. In addition to that, in June, we launched a laboratory for the evaluation of non-personal data — psychotype.online . Today we turn back again to the topic of the psychotype influence on the borrower’s credit behavior and income assessment. Referring to our research, we will talk about various data types synergy to gather more information about the client.

A little over a year ago, we were raising the topic of online client identification. Today we are going to further discuss problems and present you our new technological solution, developed over the past time.

In May 18 we presented a new version of API v10, where more than 200 predictors and improved score model are now available to our clients. Com-paring to the previous v9 release more than 30 completely new predictors were added. One of the most important add-ons was the launch of new index variables, specially developed by machine learning methods. Empowered by significant prediction ability, they show certain charac-teristics of a device, Internet connection, as well as a number of other metrics and are ready for use in the client’s credit conveyor.

We are happy to introduce our anniversary release of JuicyScore – v.10. We have significantly expanded functionality and set of predictors.

Currently, an active reassessment is under way regarding the use of personal data in the number of regions worldwide. The new GDPR will enter into force in the EU, and this is likely to be only the beginning. We may expect new regulations on personal data – PSD3 and GDPR2 data in the next 3–5 years. Those directives are not specific to the EU. It is highly likely that we will see similar initiatives in other markets in the nearest future.

We continue our series of articles about the meaningfulness of data describing the behavior of users on the Internet. In this article, we announce the launch of a global research project dedicated to studying users’ behavior, psychological types, and credit risks. The results of many recent studies have revealed that a person’s psychological type has a significant influence on his/her credit risk. There are a number of reasons:

Dear friends,What a year it was, full of impressive accomplishments and discoveries! We are proud of the success of our customers and partners, who achieved growth more than double that of the market. In the coming year, we will be happy to continue helping you succeed in new markets and with new products.

As many of you know, big data tools can add considerable value to identification of “good” and “bad” borrowers’ clusters. This research covers the use case of the seamless web identification technology in identification of “good” clients or in “saving clients from a ruthless credit conveyor.”

We are pleased to announce the new JuicyScore API v.9.0.It combines the latest identification technology and more than 200+.

As you may have noticed, this is a topic we just couldn’t ignore. Thanks to the cryptocurrency market becoming, for better or worse, the latest media darling, the term “blockchain” seems to be on everybody’s lips. By itself, blockchain technology is a collective term that combines both the database (databases) containing information about owners and a number of technologies, such as blockchain (chain of transaction blocks) and distributed ledger technology. It is this sphere that receives the most attention, and the hype is deserved at the moment.

Nowadays, online behavioural data is Terra Incognita. But as the industry learns how to gain better long-term insights, this type of data can still lead to the results in the short term.

There is clearly a fraud problem in our industry. Over the past year, the level of technical fraud in has increased by a staggering 80%. What’s more, among new applications that have been on the market for more than three years, an average of 4-6% have fallen prey to fraud (and throw in another 10-20% among online lenders that have appeared in the past 12 months).