PYMNTS

APRIL 24, 2020

These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This vital task is complicated even in normal times due to the multitude of financial risk factors in play at any given time. percent employ it for credit underwriting.

Credit Risk 100

Credit Risk Risk AI Underwriting 100

Stax

AUGUST 22, 2024

PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks. Major risk factors for PayFacs include fraudulent transactions, merchant credit risk, regulatory compliance, and operational risks.

Risk Management 88

Risk Management Risk Regulatory Compliance Payment APIs and Integration 88

Fintech News

APRIL 16, 2024

The report notes that several institutions have already started exploring the use of gen AI in risk management, citing regulatory compliance, financial crime, credit risk, modeling and data analytics, cyber risk and climate risk as emerging use cases.

Risk Management 111

Risk Management AI Risk Use Case 111

Nanonets

APRIL 5, 2023

Automation enables lenders to conduct more stringent credit checks, income verification, and other critical verifications to ensure that only qualified borrowers are approved. By using automation, lenders can also improve their loan processing times and reduce human error, ensuring regulatory compliance.

Automation 52

Automation Process Risk Assessment Assessments 52

FICO

JANUARY 4, 2018

Indeed, taken together, they explored many aspects of Explainable AI and its applications, particularly in the area of credit risk. Here were the top 5 posts of 2017 in the Analytics & Optimization category: How to Build Credit Risk Models Using AI and Machine Learning. Read the full post. Who’s scoring you now? “I

Posting 55

Posting AI Credit Risk Risk 55

PYMNTS

MARCH 6, 2020

Even more significantly, our research shows that FIs are using AI with greater focus than they have in the past, with two areas emerging as key applications: payments fraud and credit risk. Supervised systems like BRMS are simply not capable of responding to the dynamic, constantly shifting nature of these risks.

AI 81

AI Credit Risk Regulatory Compliance Risk Assessment 81

FICO

MARCH 6, 2020

Our Anti-Financial Crime solutions suite consistently follows the risk-based approach according to FATF and supports the compliance process with integrated modules. Our KYC solution supports real-time customer risk classification including UBO and PEP identification.

Financial Crimes 81

Financial Crimes Crime Compliance Technology 81