There are still opportunities in the finance market for someone with an innovative new credit product. But launching and, more crucially, scaling such a product is not without its challenges. In this Q&A, we explain some of the issues a new credit offering will have to surmount – and highlight a potential solution.
I’D LIKE TO LAUNCH AN INNOVATIVE NEW CREDIT PRODUCT
Good idea. You’ve spotted a gap in the market. Maybe it’s a specific niche like nano-loans for market traders, or perhaps you want to launch a new mobile lending product. But once you’ve identified the gap, how do you go about filling it?
FIRST THINGS FIRST: HOW DO I ACTUALLY LAUNCH MY PRODUCT?
You need to build a credit-decisioning engine. This is the heart of your lending business. It’s what will take in data from your applicants, process it, and decide whether or not to give them a loan. To build a credit-decisioning engine, you need to identify your target market, your credit policy, and your risk models. You also need to find a way to access and analyze the data you need to make your decisions.
HOW DO I CHOOSE THE RIGHT DATA SOURCES?
Traditional data sources like credit bureau reports are a good place to start, but they may not give you the full picture, especially if you’re targeting the unbanked or underbanked. That’s where alternative data comes in. This could be anything from mobile phone usage data to social media profiles. Integrating alternative data into your credit decisioning can help you reach a wider audience and make more accurate decisions.
AND WHAT ABOUT MY CREDIT POLICY?
Your credit policy is the set of rules that governs your lending decisions. It should be based on your risk appetite and your business goals. For a new product, you might want to start with a conservative credit policy and then loosen it as you gather more data and gain more confidence in your risk models.
HOW DO I BUILD MY RISK MODELS?
Risk models are mathematical algorithms that predict the likelihood of a borrower defaulting on a loan. You can build these models using traditional statistical methods or more advanced machine learning techniques. Machine learning models are generally more accurate, but they require more data and expertise to build and maintain.
ONCE I’VE LAUNCHED, HOW DO I SCALE MY PRODUCT?
Scaling a credit product is all about automation. You need a system that can handle a high volume of applications quickly and accurately. This means automating as much of the process as possible, from data gathering and analysis to decisioning and disbursement. You also need a way to continuously monitor and optimize your product performance.
WHAT ARE THE CHALLENGES OF SCALING?
One of the biggest challenges of scaling is managing risk. As you grow, you’ll encounter new types of borrowers and new types of fraud. You need a system that can adapt to these changes and continue to make accurate decisions. Another challenge is technology integration. You need a platform that can integrate with your existing systems and scale as your business grows.
HOW CAN PARETIX HELP?
Paretix provides a Advanced Credit Solutions & Intelligence that helps financial institutions launch and scale innovative credit products. Our platform is designed to be flexible, scalable, and data-driven. We can help you:
- Access and analyze multiple data sources, including traditional and alternative data.
- Build and deploy custom credit scoring models using advanced machine learning techniques.
- Automate your entire credit-decisioning process, from application intake to loan disbursement.
- Continuously monitor and optimize your product performance using real-time analytics.
With Paretix, you can focus on your business goals while we take care of the technology. We’ve helped many financial institutions launch and scale successful credit products, and we can help you too.