Instantor's Blog

Getting credit or a mortgage declined is a big concern for many of us. In fact, most of us will need to use credit at some point in our lives, so it’s a big deal when we are declined. That’s why credit scores are important – to improve our chances of gaining access to credit and enabling us to navigate quickly through life’s twists and turns. 

At Instantor we want to contribute to a more inclusive and fair financing market. We do this by making people's financial lives easier and helping organisations to understand their customers’ true financial capacity, using transactional data.

Our client, Lendify – Sweden’s largest marketplace for loans – wrote a great opinion article on how traditional credit assessments need to be updated. How new technology, like our AI credit predictor – Insight – can provide a more accurate and detailed risk analysis for lending organisations and be a force for a healthier lending market. Please enjoy a translated version by us that was originally published in Swedish by Realtid.se in October 2018.

AI has been gaining popularity in recent years, particularly as it’s been improving in leaps and bounds for a whole range of tasks: from predicting the risk of child abuse in a given family to beating world champion Go players. 

However, one critical problem with using it for decision making in business is that the machine learning models can't explain the predictions they make: a customer might, reasonably, want to know why their cred it card or home loan application was denied. 

Our latest solution, Instant Access, gives you the power to analyse transactional data through PSD2. This data is used to digitalise credit risk processes – without requiring you to invest in any tech resources or spend any time on system integration. Moneyveo is the first lender in the Ukrainian market to use this solution and our very first partner in Ukraine. 

Just a few years ago, only a few people in the financial industry had access to an individual’s banking data. Data was ‘owned’ by a few major players such as large financial institutions, and all access had to go through these information gatekeepers. Limited sharing of data has resulted in a stagnated offering of banking products to customers that have not significantly changed in decades: people are paying too much for their overdrafts or money sits in current accounts earning little, or sometimes even no interest. To summarise, customers are not happy.

To eliminate extreme poverty, many leading global organisations have made financial inclusion a top priority. Business leaders and policymakers have dedicated themselves to improving the quality of life for the world’s poorest, and they believe economic and social progress starts with an inclusive financial system that meets the needs for all income levels.

The traditional credit scoring system has long been used as the primary method to rate a person’s creditworthiness. The current rating system is led by a select handful of major credit bureaus and agencies within each country, who hold the power to determine an individual’s credit eligibility. Yet new systems, known as alternative credit scoring methods, make a strong case for providing a fairer and more modern scoring system and are already making huge strides in shaking up the industry.

For several years, we at Instantor have helped consumer finance organisations make the most profitable decisions through our digitalised financing processes. We understand that your main challenges are in day-to-day operations: limited loan acceptance, fraud, bad loans, and default, and consequently, a reduced profit. In this article, we will dive into calculating risk to demonstrate how Instantor is helping clients reduce credit losses by a quarter.

An effective digitalisation process creates meaningful change through exciting new areas of technology. Many of the technical benefits of such a shift are apparent, such as better user experiences and faster load times. Technology is transforming economies, pushing companies to adapt and forcing governments to reconsider its implications. But what about the social benefits? What are some of the impacts of digital transformations on society?

Using transactional behaviour to calculate your credit score is not a new phenomenon. In fact, in a bid to make credit scoring fairer and more accessible to all, it is one of many alternative methods to traditional credit scores.