The Fintech Times

APRIL 15, 2024

. “AI’s contribution extends to intelligent underwriting, where it enables the creation of sophisticated risk profiles by analysing a wide range of data, including non-traditional indicators that might be overlooked in manual processes. “Finally, AI is reducing risk in the embedded insurance space.

Embedded Finance 134

Embedded Finance AI Finance Assessments 134

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 Due Diligence 88

FICO

NOVEMBER 30, 2017

In my previous post on application fraud, we explored the drivers behind the rapid acceleration of identity-based fraud , which includes identity theft / third-party fraud, synthetic identity fraud, and first-party fraud. Step 3 – Collaboration with Risk.

Risk 82

Risk Fraud Detection Assessments Origination 82

FICO

SEPTEMBER 18, 2018

Online retailers only passing the registered address, not the delivery address through fraud checks. In your opinion, what should come first: an underwriting decision or a fraud decision - and why? Andy: Credit risk is the bigger player in account originations. Best Practices in Establishing Your Fraud Risk Appetite.

Fraud Detection 51

Fraud Detection Best Practices Checks Push-to-Card 51

FICO

SEPTEMBER 20, 2018

Online retailers only passing the registered address, not the delivery address through fraud checks. In your opinion, what should come first: an underwriting decision or a fraud decision - and why? Andy: Credit risk is the bigger player in account originations. Best Practices in Establishing Your Fraud Risk Appetite.

Fraud Detection 45

Fraud Detection Best Practices Checks Push-to-Card 45

M2P Fintech

APRIL 29, 2025

Rise in Fraud & Delinquency – Fraudulent activities, including identity theft and misuse of loan funds, significantly threaten the financial stability of both microfinance institutions (MFIs) and their clients. This lack of transparency can lead to inefficiencies, delayed repayments, or even defaults.

Technology 52

Technology Assessments Risk Assessment Compliance 52