Discover a seamless way of determining a customer's risk exposure at the time of application and gain a clear understanding of their financials.
Some industries we serve:
Retail banks & consumer finance
Challenger banks & online lenders
A proven set of risk features that have been engineered based on real customer default data thus carry proven predictive power that can be added to your credit scoring models.
A proven set of risk features that have been engineered based on real customer default data thus carry proven predictive power that can be added to your credit scoring models.
Broaden your understanding of the applicant’s creditworthiness with historical insights reflecting monetary habits such as gambling, spending, ATM behaviour and over 300 other features.
Broaden your understanding of the applicant’s creditworthiness with historical insights reflecting monetary habits such as gambling, spending, ATM behaviour and over 300 other features.
Simplify the application process with pre-filled fields and verified data instead of manual input and paperwork from the applicants.
Simplify the application process with pre-filled fields and verified data instead of manual input and paperwork from the applicants.
Challenge
Relying on credit bureaus for risk assessments or affordability checks takes time, comes at a cost, and provides a limited and sometimes out-of-date picture of creditworthiness.
Solution
Powered by open banking, loan applicants can connect their bank account to instantly provide a complete and verified assessment of their current income level.
Challenge
Relying on credit bureaus for risk assessments or affordability checks takes time, comes at a cost, and provides a limited and sometimes out-of-date picture of creditworthiness.
Solution
Powered by open banking, loan applicants can connect their bank account to instantly provide a complete and verified assessment of their current income level.
“With Tink we have provided our customers with a much smoother way to prove their income and their creditworthiness, which has helped us reduce our application processing time down to less than 10 mins. It has helped us increase our automated funnel which in turn increased approval rates, faster time to money, and reduced risk of fraud and uncompleted applications - all real difference makers for our growth.”
CEO at GF Money
Use real-time data to review income, expenses and spending patterns predicting repayment capacity.
Improving models of the probability of default has resulted in multiple Gini uplifts for our customers.
Our customers decreased cases of fraud significantly by replacing manual input with verified data from the applicant's bank account.
Use a granular set of features with proven predictive power derived from default data to improve your credit risk modelling.
Open banking has the power to simplify and streamline the loan application process while improving your underwriting workflows.
amongst lenders has revealed that 30% of the participants evaluate the frequency of failed payments in their current risk assessment models.
amongst lenders has revealed that 32% of the participants stated being unable to verify assets or collateral was the most common reason for being unable to assess the applicant's creditworthiness.
Increase adoption rates from 10% to 40% with no fraud.*
*based on Tink customer data using Income Check.
Contact our team to learn more about what we can help you build – or create an account to get started right away.