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Risk Scoring of Microloan Credit Model using AI Technology
Tech Stack
ASP.NET- jQuery
- MySQL
- Python
- ReactJs
About Client
Based in the Asia-Pacific region, the client serves an underserved population with a limited credit risk history. The client also offers services such as micro finances and business loans against properties.
About Product
The Fintech firm intends to expand its presence in new markets by leveraging its Credit platform with AI technology. They want to build a credit platform that is powered by machine learning models built on alternative data. These ML models will decide the eligibility of the customer based on credit score.
Identifying risky buyers:
Defining ‘risky’ customers was the need of the hour.
In collaboration with the client's team, we compiled a comprehensive list of features. These features were thought to have the ability to distinguish between risky and non-risky borrowers.
Solution
The Challenges
Result
- Easy Tracking:The digital presence of the applicant using AI solutions has helped the assessment of the loan applicant.
- Automation of credit risk:We were able to eliminate subjectivity and shorten the time it takes to apply for a loan.
- Modified customer journey:A few changes in the segmentation areas improve customer interaction. This aided in customer retention and increased business.
- Accurate segmentation of customers:Brainvire successfully categorized the customers based on transaction patterns over time intervals, time of day, consistency and volatility in transactions, percentage and index growth in transactions, past loan repayment behavior, etc.
Client Testimonials
I would recommend Brainvire to anyone. They’re a very talented group of software engineers. They’ll tackle any challenges and take scope changes in stride. Along with their responsiveness, their team is communicative and dedicated.
Mike Luhtanen
Founder - Creative LLCPowered by Clutch
170 Reviews“They handle all their work with a personal touch, which encourages a continued long-term partnership. Their deliverable are reliable thanks to vigorous QA testing. I would recommend Brainvire to anyone.”
