Credit risk refers to the risk of loss a lender faces when borrowers fail to repay their loans. It is a critical factor in the lending industry, impacting the decisions of banks, credit unions, and other financial institutions.

Why Credit Risk Matters

  • Financial Stability: High credit risk can lead to significant financial losses for lenders.
  • Interest Rate Determination: Lenders use credit risk to set interest rates; higher risk usually translates to higher rates.
  • Regulatory Compliance: Financial institutions must manage credit risk effectively to comply with regulatory standards.
  • Portfolio Health: Managing credit risk is essential for maintaining a healthy and profitable loan portfolio.

Traditional Measurement of Credit Risk

Credit risk assessment traditionally relies on:

  1. Credit Scores: The most common method, utilizing credit scores from credit bureaus.
  2. Credit History: Reviewing borrowers’ past credit behaviors, including payment history and credit utilization.
  3. Debt-to-Income Ratio: Evaluating the borrower’s existing debts relative to their income.
  4. Collateral Value: Assessing the value of collateral, if any, offered against the loan.

Alternative Data in Credit Risk Assessment

Alternative data has become increasingly valuable, especially for assessing “thin-file” borrowers who are new to credit or have limited credit history.

  • Mobile Phone Data: The mobile network, line type and tenure of a mobile phone number provides insights into a customer’s previous repayment behaviour and affordability.
  • Email Address: The history of an email address, including age and reputation provide insights into both credit and fraud risk.
  • Utility and Rent Payments: Regular payments for utilities or rent can indicate financial responsibility.
  • Bank Account Analysis: Insights into cash flow patterns, savings, and spending habits.
  • Educational and Employment History: Stability and potential earning power can be gauged from educational and career backgrounds.
  • Social Media Data: Some lenders analyze social media behavior, although this is more controversial and raises privacy concerns.

Importance of Alternative Data

  • Wider Inclusion: Helps in evaluating those without extensive credit histories.
  • Behavioral Insights: Provides a deeper understanding of a borrower’s financial behavior.
  • Risk Diversification: Enables lenders to diversify their portfolio by confidently lending to a broader demographic.
  • Competitive Advantage: Lenders using alternative data can cater to underserved markets, gaining a competitive edge.

Conclusion

Credit risk is a pivotal aspect of the lending process, directly influencing the profitability and sustainability of financial institutions and loan providers. While traditional credit risk assessment methods remain foundational, the integration of alternative data is revolutionizing the field, particularly in assessing the creditworthiness of those with thin or no credit history. This shift not only expands the market for lenders but also opens up opportunities for a wider range of borrowers to access credit.

How can Honey Badger help?

Honey Badger is a leading provider or alternative data for credit risk analysis. Integration with mobile network operators allows us to provide real-time data that supports decisioning, especially for thin file or new to credit customers. To find out more visit Honey Badger’s Risk Insights page.

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Account Servicing

Stop fraud and improve customer experience during account servicing by eliminating SMS One Time Passwords (OTP). Instead, leverage phone based SIM authentication which involves comparing data generated by the Mobile Network Operator (MNO) with mobile device session data. This provides a foolproof way of proving that an individual is in possession of their two-factor device.

Benefits

This new approach to authentication isn’t susceptible to SIM swap attacks and doesn’t require the user to enter a password. Ultimately, account takeover attacks are blocked, while customer experience is improved and the time taken to service a request us reduced.

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Contact Data Cleaning

Contact Data Cleansing verifies that the contact and personal information you hold isn’t out of date or inaccurate. Data is compared against the information held on file by Mobile Network Operators (MNOs). Whether processing a single record or sanitising thousands of records in batch, you’ll quickly identify bad data.

Benefits

The case for maintaining up-to-date records goes way beyond good practice for compliance and regulatory reasons. It’s critical to ensuring customers are contactable. Furthermore, it reduces security threats by ensuring communications aren’t sent to the incorrect individuals.

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SIM Swap Detection

SIM Swap Detection is a critical step in stopping account takeover. Why? Because account takeover attacks commonly exploit the ease of which a phone number can be stolen by simply assigning it to a new SIM. This allows bad actors to intercept communications, such as SMS one-time-passwords (OTP), which are used by 93% of enterprises worldwide to verify customers.

Benefits

SIM Swap Detection instantly and silently checks the history of a SIM card to see when it was last swapped. Recent swaps indicate high risk of fraud, allowing you to take appropriate action, such as failing verification or requesting additional security procedures are followed.

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Social Trace

Social Trace significantly reduces the risk of losing contact with your customers by diversifying communication channels. Simply drop the Social Trace widget into your onboarding workflow and allow customers to connect one or more social channels with just a click.

Benefits

Lenders who capture social channels are significantly less likely to lose contact with their customers. Why? Because different demographics prefer to engage over different channels. This is particularly important when it comes to collections. Initiating contact over different channels increases your chances of getting a response, which in turn increases the likelihood of resolving late or non payment. 

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Mobile Fraud Check

Mobile Fraud Check allow you detect fraud indicators using data provided by Mobile Network Operators (MNOs). Key checks include device overseas, call forwarding, SIM swap, a high risk number database lookup and much more.

Furthermore, Mobile Fraud KYC allows you to verify a person’s firstname, lastname, date of birth and postcode against the data held on file by MNOs. Since MNOs conduct their own KYC checks on new customers, it gives you the ability to match personal information you collect against a trusted and verified source.

Benefits

Mobile Fraud Checks happen instantly and with zero customer friction. The data held by MNOs is often more recent and reliable than other data sources and a level of granularity is provided,  allowing you to see how many and which KYC fields matched.

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Mobile Data for Credit Risk

Mobile Data for Credit Risk delivers the data required to predict credit risk based on a persons mobile phone information. Key data attributes include the network provider, line type, and KYC match information. Working in partnership with lenders we’ve been able to clearly identify correlations between this data and the likelihood of a loan going into arrears.

Benefits

Open Banking Vs Mobile Data. Which is the most effective in predicting bad borrowers? A recent project with a UK lender compared a risk model built with Open Banking against a model built with Honey Badger’s Mobile Data. The results showed that both models outputted almost identical risk scores. The difference? Mobile Data could be deployed immediately with no customer friction required to calculate a risk score.

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Geo Authentication

Geo Authentication™ provides frictionless identity verification that reduces abandonment rates. Users simply select images that they recognise from nearby to their address. In built anti-fraud controls ensure that valid users can complete the challenge whilst bad actors are blocked.

Benefits

Leading lenders such as Amplifi Capital use Geo Authentication during applications as an alternative to more intrusive identity verification checks, such as document uploads, that cause high friction and lead to increased dropouts. Completion rates with Geo Authentication are 28% higher and have subsequently helped drive an increase in revenue for the business.

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