Mar 16, 2023
Find out how credolab provides clients with an integrated financial services solution through embedded scoring, allowing them to review applications quickly and accurately.
Over the years, technology has come to save the day, providing benefits to both businesses and customers. Due to customers’ increasing dependence on technology, industries must continuously adapt to offer useful and cost-effective products and services.
As we saw in the previous article, A Beginner's Guide to EmFi: Part 2 Navigating the Challenges, embedded finance (EmFi) has become an integrated part of the financial market where, depending on the industry, it may offer banking, payments, insurance and lending services. While EmFi certainly has some challenges, the benefits far outweigh these hurdles.
Fintech businesses such as credolab are helping to overcome these challenges, offering risk control, fraud and marketing solutions all in a single API. Through embedded scoring, credolab offers its clients an integrated solution to financial services, enabling a quick and accurate review of credit and loan applications that help simplify and speed up operations. With financial technology evolving, lenders and similar financial institutions must upgrade their processes and technology, and embedded scoring can help.
In the world of lending, distinguishing good borrowers from neglectful borrowers is crucial to the success and survival of any business. It is no surprise that lenders are interested in incorporating stricter and more rigorous processes to review credit and loan applications since fraud leads to defaults, and defaults lead to write-offs and losses. The lender’s ultimate goal is to maintain a healthy and profitable balance between customer experience at onboarding, approval accuracy and fraud and risk verifications while helping deserving borrowers attain the credit they need.
Embedded scoring integrates credit scoring technology into financial services. This allows lenders to incorporate stricter and more rigorous processes to review credit and loan applications. Through digitalisation, businesses can apply Artificial Intelligence (AI) technology to understand a borrower’s credit profile better and perform a more solid credit risk assessment. The wide availability of big data coupled with the maturity of deep learning and machine learning (ML) technology has enabled businesses to grasp this information's full extent and depth. Credolab, for example, offers an embedded scoring platform that collects and uses behavioural data and insights from one privacy-consented and rich data source. Through the use of smartphone and web behavioural metadata, this approach provides a new way to assess risk and deliver highly predictive risk insights.
Embedded scoring offers businesses valuable insights into their prospects and allows them to make more informed decisions about their risk profiles. Unlike traditional scoring, it uncovers more accurate patterns of applicants' willingness to pay and signals that might anticipate problems.
Embedded scoring offers the following benefits to financial institutions, including non-banks:
Credolab offers solutions for the top EmFi categories using Machine Learning (ML) algorithms to identify behavioural patterns for early fraud detection. Gathering insights from smartphone and web metadata, credolab collects unique customer behaviour information to perform checks for their fraud strategy, ensuring an effective verification while detecting possible fraudulent behaviours. Working with businesses such as credolab can offer solutions for risk control, fraud detection and marketing optimisation, as is seen in the four examples below:
In embedded banking, traditional banking services, like checking accounts and debit cards, are integrated with non-financial businesses like retailers. Using EmFi tools has made it easier to move money online, but it has also made it harder to avoid scams or stop transactions that might be illicit. Credolab helps reduce first and third party fraud at the onboarding stage without adding any friction. Credolab’s solution uses ML algorithms to identify behavioural patterns that flag potential scammers. Anonymous data stored in smartphone devices are converted into quantitative figures that assess the person’s probability of defaulting or committing fraud.
Credolab helps calculate device velocity checks, IP velocity checks, and fraud scores with the following tools:
Clients can also combine credolab’s checks and scores with their internal checks to make an immediate and more accurate decision. For example, the algorithm can detect the device ID of incoming applications and determine whether this ID has been confirmed as a fraud case. Then, whenever a new request comes in, they can instantly reject the ID using the analysed data as part of their blacklist.
Embedded lending combines loan and instalment payments with non-financial products and services. A lender's goal is to maintain approval accuracy, but this is often difficult given the lack of a borrower's credit history. Using credolab's technology, clients can assess any customer, top of the funnel, regardless of credit bureau history, to improve risk assessment.
The most common example of embedded lending is Buy Now, Pay Later (BNPL). A new study from Juniper Research reports that about 360 million people use BNPL services worldwide as of 2022 and predicts that by 2027, users will exceed 900 million.
There is no doubt that these services benefit many customers. To ensure the safety of all parties, however, proper security strategies must be implemented. Credolab helps assess customers such as those currently using BNPL by gathering insights, analysing behaviour and detecting any red flags before the customer defaults on a payment.
For any BNPL provider, the first step in building their underwriting and fraud strategy is setting a rule-based risk assessment in place. Credolab detects insights from smartphone and web metadata that can shed light on customers’ behaviours and risk profiles. For example, behaviours such as a single device, browser, or IP address being used for repeat loan signups or how often applicants change their key information like address or income can be incredibly useful when determining a borrower’s risk level. Combined with BNPL's provider security strategy, this can help determine whether a customer is legitimate or a fraudster.
Embedded payments enable individuals to save a preferred payment method for future online purchases at the click of a button, making the checkout process easier without needing a card. Although this form of payment is extremely convenient for customers, there is some apprehension about its security, which is understandable as the payments industry has always been enticing to fraudsters. In fact, the magnitude of fraud is so great that it is projected that by 2030, total payment card volume will reach $79 trillion, of which an estimated $49.32 billion will be lost to criminal fraud. This loss is burdened by merchants, which spend an average of $3.75 for every $1 lost to fraud.
Chargeback fraud, which occurs when an individual denies buying an item on a credit or debit card to get a refund from the card provider, is an important piece of criminal fraud. This scam, also known as “friendly fraud”, is now reportedly the highest source of fraud attacks that merchants face globally.
Although transactions using cryptocurrencies (crypto) like bitcoin aren't directly subject to chargebacks, they are subject to other types of fraud, such as transaction fraud. Transaction fraud occurs when a stolen payment card or data is used to generate an unauthorised transaction. In crypto, this involves scam tactics such as investment schemes where scammers impersonate businesses or government agencies, convince people to buy cryptocurrency, and then send it to themselves for investment. Another scam tactic, Account Takeover fraud, is when a fraudster uses a stolen account. For example, when users log into a cryptocurrency account in a public location, scammers might steal their private, sensitive information by intercepting Wi-Fi signals on trusted networks if they are in close proximity. In 2022, Kris Marszalek, CEO of cryptocurrency exchange Crypto.com, confirmed that hundreds of user accounts were hacked, resulting in stolen funds.
According to a Federal Trade Commission report, cryptocurrency scammers have stolen more than $1 billion since 2021. Thankfully, credolab can help detect chargebacks and transaction fraud in real-time. Alternative data makes it possible to identify legitimate customers and suspicious activity in real-time, minimising fraud by analysing users’ login behaviours. This applies to all embedded payment options, from credit cards to crypto.
Through embedded insurance, customers can buy insurance while making a purchase, offering a more affordable and personalised experience. With the integration of insurance on consumer platforms, third party distributors can offer relevant, customised products resulting in significant revenue streams. Here is where credolab can come in to help. Through digital smartphone profiles and web behavioural metadata, credolab can understand the audience better, anticipate behaviour, and help you make better decisions that improve cross-sell, upsell and retention rates.
Credolab’s embedded underwriting technology uncovers insights that benefit both insurers and customers:
According to a McKinsey report, the EmFi market is still growing. It is expected to double in size over the next three to five years, with long-term winners likely to be those who invest in technology, expertise, and relationships.
As addressed in A Beginner’s Guide to EmFi: Part 2 Navigating the Challenges, some roadblocks must be overcome when entering the EmFi market. These include data security, customer risk detection, access to capital and stakeholder resistance to change. Credolab understands that one oversight can pose a huge risk, so here is a list of the following key points for EmFi market entrants to consider:
Credolab is an example of a provider that offers "all-in-one" solutions in a secure and compliant way. Using AI and ML, credolab evaluates data from behavioural sources, analyses them and identifies patterns related to marketing, fraud and credit scoring, all delivered through a single API. This solution is available to any company, not just lenders and financial institutions, looking to scale their businesses without compromising security and customer experience.
Working with the right partners is crucial to new EmFi players’ success. With the right partner, they can navigate the financial services industry's various challenges. As financial processes become increasingly difficult to implement and follow, it is imperative to use modern fintech solutions to address these issues.
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February 28, 2023
Top 3 Challenges of Embedded Finance: Expert Tips on How To Overcome Them
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February 2, 2023
A Beginner’s Guide to EmFi: Part 2 Navigating the Challenges
Read blog →