Personality predicts risk.
Everybody has a personality, and this helps understand their risk profile. By looking at behaviour and personality - we can score anyone.
Make more profitable an informed decisions
Character-based assessment using alternative data can be used in a variety of ways.
Win new customers
Standalone
Score
Reach new customers with new products who are currently invisible. Our alternative data credit score can be used to assess credit invisible and thin-file customers with little to no credit history.
Keep customers
Reassess soft-rejected customers
Our insights can be used to ensure you don’t miss out on new and additional lending to creditworthy borrowers who have insufficient credit data.
Grow profitability
Uplift predictability of your current scores
Alternative data scores have little correlation to traditional credit scores, so they can be used in combination to provide greater predictability to existing scores and a more profitable loan portfolio.
What are character-based credit scores?
Character-based scoring leverages behavioural and digital data to better understand people and enable better decisions.
Character-based scores take non-traditional data like smart-phone data and psychometric assessment and analyse it to provide insight around the consumer’s personality, behaviour, community, skills and experience. Information which is highly predictive of creditworthiness.
This data can be turned into valuable insights allowing financial institutions and lenders to not only ‘see’ more people but to understand their customers better, providing the foundations to offer better financial outcomes for everyone involved.
Traditional scores focus on an individual’s ability to repay. Alternative data credit scores focus on an individual’s willingness to repay.
Introducing alternative data
Non-traditional data, such as smart-phone data and psychometric assessment has been proven to provide insight around the consumer’s personality, behaviour, community, skills and experience. Information which is highly predictive of creditworthiness.
Once a consumer opts-in, machine learning algorithms analyse thousands of data points for each application. Once the results are in, they can be incorporated in the lenders existing decisioning system through easy to integrate APIs.
Character-based insights can be used to enhance existing credit assessment processes with alternative data that is secure, privacy consented, real time, resilient and above-all, predictive.
Digital and alternative data can be used to assess the credit risk of anyone.
As diverse as our data
People are diverse, and credit assessment should consider a diversity of data.
Begini looks at privacy-consented non-traditional data to enable character-based lending.
We both collect and create data for analysis and modelling. We have the ability to handle multiple data sources.
Anyone who is online or carries a cell phone shares information whenever they interact with the device. This information can be analysed to understand who they are and their creditworthiness.
We can also integrate with existing data sources in your institution.
Begini is focussed on bringing together data which reflects how people live, to give a more complete understanding of character and willingness to repay.
Putting character in sight
How Begini finds character insights in data
Character-based credit assessment requires expertise and knowledge of specific data sources.
At Begini, our character-based creditworthiness insights are built using device data or psychometric assessment. These sources can be combined with other data sources such as Open Banking, Transaction History or Bureau scores.
Our character-based insights show a selection of key character traits, behaviours and abilities. These have been carefully selected based on observed relationship to creditworthiness, across hundreds of thousands of application data.
Only insights that have consistently demonstrated predictive power are used in our assessment process.
Device Data
The mobile phone is the most ubiquitous technology on the planet. It provides valuable insights that can be used to predict risk.
Begini can work with an extensive variety of data sources from Android and iOS devices.
Begini offers its own SDK which can be embedded on an existing app or through a white-label app to collect the data stored on Android or iOS devices, after the user gives permissions.
Our SDK is regularly updated to ensure compliance with the latest requirements It provides consent screens to show end-users all required information.
Psychometric Assessment
Psychometric assessment is the only universal credit score. Everybody has a personality which means we are able to assess their willingness to repay and risk appetite.
Our assessment captures more than 25 personality traits. The most relevant are locus of control, fluid intelligence, impulsiveness, confidence, delayed gratification and conscientiousness.
These traits let us identify applicants who
are likely to repay their loans. Additionally, behavioural insights could be predictive of potential for cross-sell opportunities, fraud etc.