Highlights

Loan Pricing Analytics (LPA) combines sophisticated credit risk analysis, yield-curve simulation and retail loan pricing on one single platform to power informed decision making, business planning and effective risk management. LPA also offers a unique experience for retail bank customers to enhance the engagement process.

Advantages

A balanced pricing strategy should support portfolio growth generated by profitable, quality loans. Predictive analytics and simulation exercises are key to achieve optimized lending strategies. Since with LPA there is no need to implement features by manual programming, credit risk model building and pricing is made in a quick and cost-effective way.

In Action

Play the introductory video below to see the working of LPA:

Uses

Please take a closer look at the possible uses of the software:

Retail Banks

Banks and other financial institutions can establish quick and smart pricing, product and customer engagement strategies for retail loans.

Customer Experience

Customer engagement is propelled with efficient and transparent rate setting behavior. Customer interaction and live quotation is also allowed.

Investment Banks

Underlying loan pool of structured products (MBS, ABS, CMO) can be thoroughly assessed in terms of intrinsic value, credit risk and pricing.