Open Banking Solutions at Creditinfo

In 2020 Creditinfo Group decided to be part of the Open Banking initiative by starting to investigate the options of using customers’ bank account statements in their offering. The account information service is based on the PSD2 directive. For known reasons, it is not possible and acceptable to have access to customer bank account data without consent.

Creditinfo have tackled the opportunity in two different ways. In the Baltics and Iceland, the chosen route was to apply for an FSA licence to offer end-to-end customer account statements transfer from their home bank to a third party, from whom the customer applies for credit , e.g. car loan. In the Czech Republic and Slovakia namely due to the long and cost-intensive process of “passporting” CI’s Estonian license, the chosen route was collaboration with a local technical partner called Sokordia Tech.

A little bit more about above-mentioned two ways to offer Open Banking solutions in Creditinfo Group.

In 2021 Spring, Creditinfo Estonia received permission from the Financial Supervision Authority to start offering account information services in Estonia, which later in Autumn expanded to the markets of Latvia and Lithuania. Today, Creditinfo has been offering the account information service in the Baltic market for almost three years. Creditinfo have real-time access to the transaction data of customers of banks and financial institutions using a secure data transmission channel and customer consent.

In Spring 2024, Creditinfo Estonia finalised the Iceland licence application process from Estonian FSA and can officially offer account information service in Iceland.

Beside regulative and compliance part, Creditinfo also has full technical integration and capability in developing categorization when offering account informatoin service. With opportunity to access customers bank account data, the aim is to offer more transparent credit risk evaluation to customers and third parties, who find high value from the knowledge of their customers account information to make data-driven, intelligent credit and business decisions.

As mentioned above, Creditinfo also have Open Banking cooperation and partnership in the Czech Republic and Slovakia with fintech company Sokordia Tech, teaming up to capitalize on Creditinfo’s market position  whilst leveraging Sokordia Tech’s AISP and PISP licenses and Open Banking services platform to provide PSD2/Open Banking services to several financial services clients in the market.

In the Czech Republic and Slovakia market, Creditinfo currently has 5 customers utilizing the Open Banking platform, processing more than 1.2 million open banking transactions per month. Depending on the specific requirements, pain points, and use case of the Client, Creditinfo  has developed a “Categorization In-a-Box” , Multi-Service platform called Transaction Analysis Service replete with 40,000 pre-installed business rules that can sit atop and work with any Open Banking Open APIs in any country. The service is comprised of 6 unique methods/services (AIS+CIS+PIS) & PDF tools via one API as detailed below:

  1. PSD2parser: extracting raw data from PSD2 bank statements
  2. PSD2tags: tag each bank transaction with one to N identifying tags
  3. PDFparser: Extracting raw data from PDF bank statements
  4. PDFtags: Tag each bank transaction with one to N identification tags
  5. 1UnitPay: Verification PSD2 payment (the advantage is that the payment is made in one step with statement extraction)
  6. Bank Account Views: Repeated viewing of bank accounts without the need for customer re-authentication

Together with our partner Sokordia Tech, we currently have Open Banking APIs and are able to provide all these services under one single API for the following countries: Czech Republic, Slovakia, Hungary, Romania, and Poland.

Development work on the 3rd generation of the Transaction Analysis Service is currently in development, highlighted by:

  • Deeper AI involvement in processes & rules & analysis
  • Expansion of new online data inputs into transactional analytics
  • Multi-language analytical tools
  • GUI for clients to manage and report transactional analytics themselves

For more information, please visit: www.creditinfo.com

Authors:

Seth Marks – Regional Director Central, Eastern & Southern Europe, Creditinfo Group

Ivo Vallau – Open Banking Product Manager, Creditinfo Group

 

An excellent Account Information Service is based on the accuracy of the categorization of transactions

In 2021, Creditinfo Estonia received permission from the Financial Supervision Authority to start offering account information services in Estonia, which later expanded to the markets of Latvia and Lithuania. Today, we have been offering the account information service on the market for almost two years. The account information service is based on the PSD2 directive. We have access to the transaction data of customers of banks and financial institutions using a secure data transmission channel and customer consent.

Account information categorization is the first and most trivial account data processing that creates customer value. In addition to the primary value, categorization is also an input for all subsequent, significantly more value-creating services (for example, debt risk assessment). Without categorization, each time finding, analyzing and displaying value from account information becomes too resource-intensive, so the end user would have to wait a relatively long time to get a result from their data.

Unfortunately, categorization is worthless if the accuracy and quality of the categories are low. Of course, every transaction on a bank account is not an input for assessing a person’s credit risk. When determining credit risk, it is critically important that the accuracy of the categorization of transactions required for analysis is as high as possible. This is to prevent credit losses for companies and overdue debts for private individuals, directly affecting both interest groups’ reputations.

The main input from categorization is related to income

 

The primary input from the account information for credit risk assessment is salary/income and the volume of financial obligations (loans, installment payments, leases, etc.) per month. In addition, various red and green indicators affect a person’s credit risk. For example, casino visits and bailiff payments can be classified under red and insurance charges under green.
To ensure the accuracy of the categorization, Creditinfo has given the first priority to categorizing transactions important for credit risk assessment across the Baltics. However, today, we can state that the overall accuracy of categorizing the account information service offered by Creditinfo across the Baltics exceeds 90%.
 
A more accurate percentage value can only be estimated by looking at the categorization of a specific bank account since the accuracy of the categorization is directly related to the transactions that the bank account reflects.
 
Accurate categorization of account information is also essential for ensuring know-your-customer (KYC) and anti-money laundering (AML) rules for all companies to which KYC and AML rules apply to a greater or lesser extent. For example, too much cash mobility in an account can mean potential money laundering. There is not, and should not be, a definite rule as to what amount constitutes money laundering in the case of a large amount of cash in the account. Many companies operate in a sector where a lot of cash moves. However, this does not make these entrepreneurs suspects of money laundering. If the cash movement is justified, then the doubt is also grounded.
 
In summary, it can be said that the bank statement is a valuable new data collection that helps to assess a person’s credit risk better. The basis for a more accurate evaluation is categorizing bank account transactions of excellent quality. At the same time, it must be remembered that achieving 100% categorization accuracy is impossible. Service providers are constantly changing; people go on trips, new companies are born, older companies disappear, purchases are made in various domestic and foreign online stores, etc. These are all reasons why there are always companies whose payment transaction categories cannot be specified as soon as possible.

Visit creditinfo.ee/en for more information.

Ivo Vallau

Open Banking Product Manager, Ceditinfo Estonia.

Creditinfo’s Account Information Service Product

In the spring of 2021, the Estonian Financial Supervision Authority authorized Creditinfo Estonia to offer Account Information Service in the Estonian market. In the autumn of 2021, the Estonian Financial Supervision Authority also granted the authorization to provide Account Information Service to the Latvian and Lithuanian markets. This act added to our product portfolio a new, exciting product that benefits our customers in the short and long run. As of today, we have had the Account Information Service in our cross-Baltic product portfolio for two years.

About the Account Information Service

The opportunity to provide Account Information Service emerged when the European Union (EU) Parliament and the EU Council adopted a new directive regulating payment services in the EU internal market on November 25, 2015 (PSD2), which emphasized the expansion of open banking in Europe.

Open Banking refers to provide third-party financial service providers open access to transactional data of bank and financial institution customers, using secure data transmission channels and customer consent.

The Account Information Service is a part of the Open Banking initiative, defined as an online service where the service user (customer) is identified and authenticated via strong identification and authentification means. The service itself means transmitting customer’s bank account data through a secure channel to third party from whom the customer wishes to apply a credit product.

How does Creditinfo provide the Account Information Service?

Using Creditinfo Estonia’s solution, both individuals, which is regulated by the aforementioned payment service directive, and companies can transmit their account information to third parties.

Beside financial sector the possibilities of the Account Information Service can be successfully used in application processes in various sectors. Previously mentioned customer consent is obviously obligatory.

Different sectors that can benefit from account information:

  • Public sector companies that provide subsidies to individuals and businesses, where the information in the account details creates significant value when determining subsidies;
  • Insurance sector companies, which can use behavioral information from the bank account for determining insurance premiums or simplifying the insurance incident evidence burden;
  • Other sectors where value from account information help to create better personalized offers for their products and services.

The strength of our Account Information Service is categorization.

The greatest value of the Account Information Service provided by Creditinfo Estonia comes from categorizing account transactions, which our clients (data recipients) can conveniently use in their business decisions.

Categorization is a solution that can and should be continuously improved over time. Precise and detailed categorization is a top priority for Creditinfo Estonia’s Account Information Service.

The data from the Account Information Service serves also as an input for our Account Information Service Report. The report helps to make more informed business decisions both internally and towards our client’s customers. The report highlights all the key ratios, indicators, “green and red flags” and much more that can be extracted from account information.

The report is designed in a way that can be customized to meet the client’s needs, which make it a tool for everyday business decisions.

More information about the service: https://creditinfo.ee/en/avoid-debts/psd2/

Risk Management Framework

Risk management is an essential function for any bank, as it helps to protect the bank’s financial position, reputation, and long-term viability. An effective risk management framework consists of several key components that work together to identify, assess, and manage risks.

Risk Governance

The first key component of an effective risk management framework is risk governance. This involves establishing clear risk management policies, procedures, and guidelines that align with the bank’s overall strategy and objectives. The bank’s board of directors and senior management should be actively involved in setting risk management policies and overseeing the bank’s risk management activities.

Risk Identification

The second key component is risk identification. The bank should have a comprehensive risk identification process in place to identify all potential risks associated with its business activities, products, and services. This includes identifying internal and external risks such as credit risk, operational risk, market risk, and compliance risk.

Risk Assessment

Once risks are identified, the bank should assess the likelihood and impact of each identified risk to determine its potential impact on the bank’s overall operations, financial position, and reputation. This includes assessing the potential impact of risks on the bank’s customers, employees, and other stakeholders.

Risk Mitigation

The bank should develop and implement risk mitigation strategies to manage and reduce the likelihood and impact of identified risks. This may include implementing internal controls, establishing risk limits, and developing contingency plans.

Risk Monitoring

An effective risk management framework should include ongoing risk monitoring to ensure that the framework is functioning as intended. This involves continuously monitoring the bank’s risk management activities to identify emerging risks and ensure that existing risks are being effectively managed.

Risk Reporting

The bank should have a robust risk reporting framework in place to provide timely and accurate information on risk exposures and mitigation activities to the board of directors, senior management, and other stakeholders. Effective risk reporting helps ensure that the bank’s management team has the information they need to make informed decisions about risk management activities.

Risk Culture

Finally, an effective risk management framework should foster a risk-aware culture throughout the organization. This involves ensuring that all employees understand their roles and responsibilities in managing risks and are held accountable for their actions. A strong risk culture helps to ensure that risk management activities are integrated into the bank’s day-to-day operations.

In conclusion, an effective risk management framework is essential for banks to identify, assess, and manage risks. The key components of such a framework include risk governance, risk identification, risk assessment, risk mitigation, risk monitoring, risk reporting, and risk culture. By implementing an effective risk management framework, banks can effectively manage risks and protect their financial position, reputation, and long-term viability.

Joe Bowerbank,

Business Development, Creditinfo Group.

www.creditinfo.com

Creditinfo completes strategic acquisition of Ugandan and Namibian credit bureaus

Latest acquisitions cement credit expert’s position as leading solutions provider in Africa.

Kampala and Windhoek/London, 25th May 2023 – Creditinfo Group, the leading global service provider for credit information and risk management solutions, today announces the acquisition of two credit bureaus in Uganda and Namibia. As part of the acquisition, Creditinfo has taken on all employees working in the credit bureaus, which were previously owned by Experian. Creditinfo will combine their invaluable local expertise with its own extensive experience in delivering private credit solutions to African and European nations to help millions access finance.

Creditinfo has a unique mix of market knowledge that it will draw on to complement the work of the strong management teams already in place in Namibia and Uganda. Its experience working with more traditional lending markets in Europe combined with its knowledge of the different trends in lending markets in sub-Saharan Africa – such as the drive-in mobile wallet use in Kenya – will help both Namibia’s and Uganda’s credit bureaus go from strength to strength.

Coupling this experience with its advanced software and analytics products, Creditinfo will deliver its world-leading credit bureau solutions to help the two bureaus facilitate access to finance for both individuals, SMEs, and corporates in the regions, whatever their social and economic needs.

Paul Randall, CEO at Creditinfo said: “We are committed to sustainably growing our business and identifying ideal opportunities to add strong and profitable credit bureaus to the Creditinfo Group, while helping more local citizens and businesses access finance. Uganda and Namibia are ideal partners for us in this respect and all our new employees are a credit to the Creditinfo name. As the leading credit bureau provider in Africa, we eagerly look forward to working together to provide the best service possible in each country”.

Mark Charles Mwanje, Country Manager of Uganda said: “We are delighted to join the Creditinfo Group. We believe their years of expertise and knowledge will be a great asset to our existing team of dedicated and talented employees. We look forward to joining forces to help the local people and our growing economy.”

Karin Jansen van Vuuren, Country Manager of Namibia said: “Working with Creditinfo provides us the chance to tap into new opportunities for further growth. The company’s in-depth experience will be instrumental in helping banks and other lenders to extend credit, while ensuring we’re still a private credit bureau run by local people for local people, with all their best interests at heart.”

-ENDS-

About Creditinfo

Established in 1997 and headquartered in London, UK, Creditinfo is a provider of credit information and risk management solutions worldwide. As one of the fastest-growing companies in its field, Creditinfo facilitates access to finance, through intelligent information, software, and decision analytics solutions.

With more than 30 credit bureaus running today, Creditinfo has the most considerable global presence in this field of credit risk management. For decades it has provided business information, risk management and credit bureau solutions to some of the largest, lenders, governments, and central banks globally to increase financial inclusion and generate economic growth by allowing credit access for SMEs and individuals.

For more information, please visit www.creditinfo.com

Credit Bureaus and why they will remain important in the years to come

As the financial industry continues to evolve, credit bureaus need to continue to adapt. There are many compelling reasons why credit bureaus will continue to play a vital role in the future of lending and credit. In this blog, we’ll explore the benefits of credit bureaus and why they will remain important in the years to come.

1. Efficient and standardized credit data

Credit bureaus provide an efficient and standardized way to collect and store credit data. This allows lenders to quickly access the credit history and credit scores of potential borrowers, which is essential for making informed lending decisions. Without credit bureaus, lenders would need to spend more time and resources gathering credit data from various sources, which would slow down the lending process.

2. More accurate credit models

Credit bureaus are constantly refining their credit models to improve accuracy and predictiveness. By analysing large amounts of credit data, credit bureaus can develop more sophisticated credit models that consider a wide range of factors, such as payment histories, outstanding debts, and length of credit history. These models provide lenders with a more accurate picture of a borrower’s creditworthiness, helping to reduce the risk of defaults and delinquencies.

3. Increased access to credit

Credit bureaus play a critical role in expanding access to credit. By providing lenders with access to credit data, credit bureaus make it easier for individuals and businesses to obtain loans and credit cards. This is particularly important for people with limited credit histories or who have had past credit problems, as credit bureaus provide lenders with a way to evaluate these borrowers’ creditworthiness.

4. Protection against fraud and identity theft

Credit bureaus also play a key role in protecting consumers against fraud and identity theft. By monitoring credit reports for suspicious activity, credit bureaus can help detect and prevent fraudulent activity. Additionally, credit freezes and fraud alerts can be placed on credit reports to prevent unauthorized access to credit data.

5. Continued relevance in a changing industry

While the financial industry is evolving rapidly, credit bureaus will continue to be relevant in the future. As new technologies and data sources emerge, credit bureaus will adapt and incorporate these changes into their credit models. Additionally, credit bureaus will likely face increased competition from fintech startups and other companies, which will push them to innovate and improve their offerings.

In conclusion, credit bureaus are essential to the lending and credit industry. By providing lenders with access to credit data, credit bureaus make it easier for individuals and businesses to obtain loans and credit cards. Additionally, credit bureaus play a critical role in expanding access to credit, protecting consumers against fraud and identity theft, and adapting to a changing industry. As the financial industry continues to evolve, credit bureaus will remain a vital part of the lending and credit ecosystem.

Gary Brown,

Head of Commercial Development, Creditinfo Group.

The Role of Artificial Intelligence and Machine Learning in Credit Scoring

Executive Summary

The use of artificial intelligence (AI) and machine learning (ML) in credit scoring is revolutionizing the lending industry. By leveraging vast amounts of data and advanced algorithms, lenders are able to more accurately predict credit risk, improve operational efficiency, and expand access to credit for underbanked individuals and small businesses. This white paper explores the benefits and challenges of AI and ML credit scoring, and provides guidance for lenders on how to successfully integrate these technologies into their lending processes.

Introduction

Traditional credit scoring models rely on a limited set of data points, such as payment history, outstanding debt, and length of credit history, to assess creditworthiness. These models are effective for many borrowers, but they can be limiting for individuals with thin credit files or non-traditional sources of income. AI and ML credit scoring models, on the other hand, can analyze a vast array of data points, including non-traditional data sources, to develop a more accurate and comprehensive picture of a borrower’s creditworthiness.

Benefits of AI and ML Credit Scoring:

1. Improved accuracy: AI and ML algorithms can analyze a wide range of data points, including non-traditional data sources such as social media activity and utility bill payments, to develop a more accurate picture of a borrower’s creditworthiness. This can result in more accurate credit scores and better loan decisions.

2. Expanded access to credit: Traditional credit scoring models can be limiting for individuals with thin credit files or non-traditional sources of income. By analyzing a broader range of data points, AI and ML credit scoring models can expand access to credit for underbanked individuals and small businesses.

3. Increased efficiency: AI and ML credit scoring models can automate many aspects of the lending process, reducing the need for manual underwriting and improving operational efficiency. This can result in faster loan decisions and a better borrower experience.

Challenges of AI and ML Credit Scoring:

1. Data privacy and security: As AI and ML credit scoring models rely on vast amounts of data, data privacy and security are critical concerns. Lenders must ensure that they are collecting and using data in compliance with applicable laws and regulations, and that they have robust cybersecurity measures in place to protect sensitive borrower data.

2. Bias and discrimination: AI and ML algorithms are only as good as the data they are trained on, and if that data is biased, the algorithms can perpetuate that bias. Lenders must be mindful of potential biases in their data and take steps to mitigate any potential discrimination in their lending decisions.

3. Explainability: AI and ML algorithms can be complex and difficult to interpret, which can make it challenging for lenders to explain their lending decisions to borrowers. Lenders must be able to provide clear explanations of their credit scoring models and lending decisions to borrowers.

Conclusion

AI and ML credit scoring has the potential to revolutionize the lending industry, providing more accurate credit scores, expanding access to credit, and improving operational efficiency. However, lenders must be mindful of the potential challenges, including data privacy and security, bias and discrimination, and explainability, and take steps to mitigate these risks. By investing in AI and ML technologies and developing robust risk management practices, lenders can successfully integrate these technologies into their lending processes and provide better loan decisions and a better borrower experience.

Samuel White

Director of Direct Marekts, Creditinfo Group.

www.creditinfo.com

Kredītinformācijas Birojs and Citadel Bank Sign an Agreement to make It easier for Ukrainian citizens to receive Financial Services

Kredītinformācijas Birojs (KIB) has concluded an agreement with Citadel Bank on using credit history data of Ukrainian nationals to evaluate the possibility of granting loans. The service will allow bank employees to verify personal identification data and residential address before opening an account for Ukrainian citizens, as well as check the customer’s credit history and information on existing credit obligations in Ukraine, evaluating the granting of a loan.
 
“The information provided by us is valuable for any Latvian company that enters into a contract with Ukrainian nationals to more objectively evaluate the client’s ability to fulfill their financial obligations in the future. We are happy that “Citadele” has become the first Latvian bank to which such data will be available in the future,” says Intars Miķelsons, a member of the board of AS “Kredītinformations Birojs.”
 
The database contains information on 15 million private individuals and 54 million unique credit agreements – both those where payments are made according to the schedule and those where the borrower delays payments. The data providers comprise 20 of the largest Ukrainian banks and non-bank lenders. The credit history report also contains the person’s tax identity number, declared place of residence in Ukraine, and registered contact numbers in Ukraine.
 
When starting cooperation with each client, the bank observes the principles of “know your client,” i.e., learns all the necessary information about the potential client, for example, the origin of funds entering the client’s account. The bank also checks the client’s credit history and information on existing obligations if the client has applied for a loan. The information obtained from KIB about the obligations of Ukrainian citizens will benefit the bank. “We are already providing Ukrainian citizens with the opportunity to open a bank account remotely and receive various financial services, such as loans for various purposes. The new information base will speed up these processes,” says Jānis Mūrnieks, Head of Citadele’s Private Person Service Directorate.
 
For the Latvian company to obtain data, it must conclude a contract with KIB. In contrast, before requesting the data, the Ukrainian citizen must permit using his data by signing the consent.  
 
Like residents of Latvia, citizens of Ukraine can check their credit history free of charge at the Credit Information Bureau (Grēdu Street 4a, Riga). To receive information, a citizen of Ukraine needs a valid foreign passport issued by Ukrainian state authorities.

It has already been reported that last year the “Credit Information Bureau” of Latvia (KIB) concluded an agreement with the “International Credit Information Bureau” in Ukraine Мидрождение бюро кредитних історий ) on the exchange of credit history data of Ukrainian nationals.

The fintech movement in the banking industry 

Is fintech an enabler or disruptor in the banking industry? Fintech the new technology that improves and digitalizes the delivery and services of the banking industry. These solutions can include software helping connect with customers, businesses, and banks through agile processes to manage financial services better. Or better use of data to offer a more personalized and customer centric offering.  

The lending landscape has gone through some major changes in recent years, and this shift does not appear to be slowing down. Based on the latest information from the World Bank, about 76% of adults have a bank or mobile account, this is up from 51% in just over a decade. The rise of mobile money solutions, which allow users to turn their smartphones in digital wallets and use it to pay for services, have played an important role tapping into the unbanked segment and supporting this improvement.

Fintechs are realizing the opportunities to disrupt the challenges faced by traditional banking and offering new solutions that better suit the needs of customers and businesses. By embracing technology, fintech companies can collect and store more data on customers so they can offer personalized solutions with greater choice of products. Unlike traditional banks, fintechs can move with speed and deliver digital solutions improving the user experience. 

The increase in fintech players has increased competition between traditional banks and fintechs. Traditional banks are paving the way to collaborate with fintechs while others are implementing teams to focus on in-house projects. Older generation customers may value trust over the latest trends and will therefore remain loyal customers to traditional banks., However, younger generations will demand more and swifter solutions because that is what they are familiar with. Traditional banks embracing fintech solutions will see them provide the flexible solutions that customers are looking for.  

One of the biggest reason the banking industry has adapted to fintechs, is due to their ability to connect with customers 24/7 through an omnichannel approach. This not only increases customer reach and convenience but also allows banks not to rely solely on customers visiting a branch.  

 It is expected that we will continue to see changes in the banking industry for years to come, the speed of change will depend on how much and how fast customers continue to adapt to fintech solutions. It’s clear, traditional banks are no longer the monopoly in this industry, with more digital banks, neo banks and new players such as telcos and payment companies entering the lending landscape. Nobody is expecting the traditional banks to be replaced but it is likely that banks and fintechs partnering with one another will allow the traditional banks to enhance technologies and by coming together both the fintechs and the banks can benefit in this highly competitive market.  

 Samuel White,

Direct Markets Director, Creditinfo Group.

www.creditinfo.com

Evolution of customer onboarding and risk assessment 

This year, Creditinfo celebrated its 25-year anniversary, so I decided to look back on how the landscape in effective credit risk management has evolved. 

While it was a little before my time, I’m sure there are still many people today who remember that the only way to open a bank account, apply for a loan or to be considered for a mortgage was to visit your local branch and sit with a loan officer. Though, this is still the case in many emerging markets even today, there will be some small differences on the data used and the risk assessment criteria that is in place.  

Historically, a visit to the branch would involve meeting a loan officer who would then try to understand your circumstances before making an approval. If there was a past relationship or a connection (family member, friend, etc) with the loan officer, this would usually work in your favor. It was a direct relationship that usually lasted a lifetime. The loan officer would know or at least try to understand as much personal information on your employment, income, and expenses as possible and then would make a personal judgement to provide you with a form of credit. All of this was most likely completed and documented on papers and filed into a filing system for record.  

 Fast forward a few decades and not only are local branches disappearing, but also the idea of sharing personal information with a “stranger”, along with any supporting documents that validate your circumstances are a thing of the past. In a world of smartphones, tablets, and access to the internet 24/7, we have moved to a new wave of digital lending.   

Lenders are implementing new strategies today to meet the end needs of customers by enabling access to credit instantly at their fingertips. Digitalization has become the new norm in lending and to succeed today, lenders need to adjust and transform their platforms. It is now a thing of the past to fill in an application form on paper when we have a smartphone in our pockets that can allow us to fill in the same information into a mobile application within a few minutes. As part of the loan onboarding, we can now validate our identity through biometric authentication options – fingerprint analysis, selfie/face recognition and document validation, etc. eliminating the need to do human to human verification.  

 The challenges from old-fashioned lending methods, i.e. understanding family ties or seeking information on employment and income would typically result in an unfair and inaccurate risk assessment. With the vast amount of information available today, either traditional or non-traditional, we can accurately assess everyone, even customers with limited credit history – “thin files”. These are often rejected due to the lack of evidence on how risk-tolerant or risk-averse they are. Usually, the absence of traditional information for these customers creates a challenge for them to receive the financial support they need. With the introduction of psychometric data, e-wallet data or open banking solutions, lenders can combine credit scoring methods with traditional models to provide accurate and reliable risk assessment.   

The benefits and success of this digital transformation and innovative approach to lending is not just about delivering quick-fix money solutions. Instead, it is about empowering individuals, facilitating access to credit and growing our global economies.    

If you are interested to reach the top and win the digital race with a state-of-the-art digital lending platform then reach out to Gary Brown, Commercial Director, Creditinfo Group.  

Visit www.creditinfo.com for more information.