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A Guide to Credit Risk Modeling to New-to-Credit Customers

Written by Digitap | Sep 25, 2024 10:07:17 AM

The New-to-Credit (NTC) Lending Landscape Faces a Crisis

In a significant setback for the lending industry, loan originations to new-to-credit customers have hit a record low in the June 2024 quarter. This alarming trend underscores the urgent need for innovative solutions to address the challenges of assessing and onboarding borrowers with limited or no credit history.

The NTC Dilemma: A Growing Challenge

NTC customers, a substantial segment of the population, often find themselves excluded from traditional lending opportunities due to their lack of a credit history. This exclusion can have far-reaching consequences, limiting access to essential financial services and hindering economic mobility.

NTC customers, often comprising young adults, immigrants, and those just starting their financial journeys, represent a vast untapped market. However, traditional credit scoring models, heavily reliant on historical credit data, struggle to accurately assess their risk. This has led to a significant portion of this population being underserved by traditional lenders.

The Impact of the New Credit Decline

The decline in NTC loan originations has several implications:

  • Reduced Financial Inclusion: Fewer individuals can access credit, exacerbating economic inequality.
  • Missed Opportunities: Lenders may miss out on a significant customer base with untapped potential.
  • Increased Burden on Alternative Lenders: The burden of serving NTC customers may shift disproportionately to alternative lenders, potentially leading to higher interest rates and less favourable terms.

Addressing the NTC Challenge

To overcome these challenges, lenders and fintech companies must adopt innovative approaches to assessing and onboarding NTC customers. Here are some key strategies:

  1. Leveraging Alternative Data: Beyond traditional credit reports, lenders can consider alternative data sources such as:
    • Mobile phone usage: Call history, data usage, and payment patterns can provide insights into financial behaviour.
    • Social media activity: Online interactions can reveal information about lifestyle, spending habits, and social connections.
    • Utility bills and rent payments: Timely payments can demonstrate financial responsibility.
  2. Implementing Advanced Analytics: AI-powered algorithms can analyze vast datasets to identify patterns and correlations that traditional credit scoring models might miss.
  3. Offering Graduated Credit Products: Starting with smaller loans and gradually increasing credit limits as borrowers demonstrate responsible repayment can help build credit histories.
  4. Partnering with Fintech Companies: Collaborations with Fintech firms specializing in NTC lending can provide access to innovative technologies and expertise.
  5. Educating NTC Customers: Providing financial literacy resources can empower NTC customers to make informed decisions and improve their creditworthiness.

Innovative Approaches to New-to-Credit Lending

To overcome the challenges posed by NTC lending, lenders and fintech companies are exploring innovative approaches. These include:

  • Alternative Data: Leveraging alternative data sources, such as mobile phone usage, utility bills, and social media activity, to create a more comprehensive picture of a borrower's financial behaviour.
  • Machine Learning and AI: Employing advanced analytics techniques to identify patterns and trends in alternative data, enabling more accurate credit risk assessment.
  • Peer-to-Peer Lending: Connecting borrowers directly with lenders through online platforms, bypassing traditional credit checks.
  • Buy Now, Pay Later (BNPL): Offering flexible payment options that allow customers to make purchases and pay later, often without requiring a credit check.

The Potential of Alternative Data in Serving the NTC Market

To bridge this gap, lenders must explore alternative data sources that can provide a more comprehensive view of a borrower's financial health. These may include:

  • Payment History: Analyzing a borrower's on-time payment history for utilities, rent, and other recurring expenses can offer valuable insights.
  • Digital Footprint: Examining a borrower's online behaviour, such as social media activity and online shopping habits, can reveal patterns of financial responsibility.
  • Employment and Income Verification: Verifying a borrower's employment status and income can provide a sense of financial stability.
  • Open Banking Data: Leveraging open banking APIs can give lenders access to a wealth of transactional data, allowing for more accurate risk assessment.

The Way Forward

The decline in NTC loan originations is a wake-up call for the lending industry. By embracing innovative approaches and focusing on financial inclusion, lenders can help bridge the credit gap and ensure that everyone has access to the financial services they need to thrive.

To address the challenges of NTC lending, the industry must adopt a more inclusive approach. This involves:

  • Investing in Technology: Embracing innovative solutions that can better assess the risk of NTC customers.
  • Collaborating with Fintech: Partnering with fintech companies that specialize in alternative data and credit scoring.
  • Advocating for Regulatory Reforms: Supporting policy changes that promote responsible lending to NTC borrowers.

By taking these steps, lenders can help to ensure that everyone has access to the financial services they need to achieve their goals.

The decline in NTC loan originations is a wake-up call for the lending industry. By addressing the challenges associated with assessing creditworthiness in the absence of traditional credit history, we can foster greater financial inclusion and create a more equitable economy for all.

The future of NTC lending hinges on the ability of lenders and fintech companies to adapt to a changing landscape. By leveraging alternative data, advanced analytics, and innovative products, we can create a more inclusive and equitable financial system for all. Interested in exploring the possible solutions for effective credit risk modelling, get in touch with us!