Carrington Labs partners with Oscilar to expand access to real-time credit risk analytics
Carrington Labs, a leading provider of credit risk analytics, has partnered with Oscilar, a leading provider of real-time decisioning infrastructure, to give lenders faster, easier access to advanced credit risk solutions.
The collaboration combines Carrington Labs’ tailored, explainable credit risk models with Oscilar’s real-time decisioning infrastructure to reduce integration time and improve credit risk workflows for banks, fintechs, and credit unions.
Through the partnership, Carrington Labs’ advanced credit risk and cash flow underwriting models — using a combination of transaction level data, credit bureau data and behavioral insights — are delivered via Oscilar’s real-time decisioning platform.
Oscilar provides the infrastructure to activate these models within a lender’s existing decisioning flows, without code or system rework. Together, the two platforms create a unified solution that gives lenders access to:
- smarter credit risk insights with Carrington Labs’ models for cash flow underwriting and loan and limit sizing
- fast implementation and quick deployment using Oscilar’s no-code platform
- greater inclusivity with the ability to accurately assess borrowers with thin files or non-traditional income.
“Lenders want to improve how they assess credit risk, but many are limited by legacy systems and long implementation cycles,” said Jamie Twiss, CEO of Carrington Labs. “Partnering with Oscilar makes it significantly easier for lenders to access and act on better credit risk insights and improve their underwriting using infrastructure they already have.”
“Carrington Labs brings a strong capability in credit risk analytics and alternative data,” said Neha Narkhede, Co-Founder and CEO of Oscilar. “Together, we’re helping lenders build a more complete picture of creditworthiness, without adding complexity.”
Carrington Labs offers lenders and credit providers credit risk insights optimized to the probability of default percentages, loan and limit sizing, and early warning indicators of credit risk.
