Install
Risk, Fraud & Compliance terms
Fraud detection, financial crime, AML, KYC and the models that score risk.
Anti-money laundering (AML) The laws, controls, and analytics financial institutions use to detect and prevent the disguising of illegal funds. Claims analytics Applying analytics to insurance claims data to speed processing, control cost, and detect fraud. Credit scoring Ranking a borrower's creditworthiness with a numeric score derived from their credit history and other data. Fraud detection Identifying transactions, claims, or behavior that are likely fraudulent, using rules, statistics, or machine learning. Know your customer (KYC) Verifying a customer's identity and assessing their risk before and throughout a business relationship. Model risk management (MRM) The governance practice of validating, monitoring, and controlling the risk that a model is wrong or misused. Pharmacovigilance Detecting, assessing, and monitoring adverse effects of a drug throughout its use, especially after approval. Risk scoring Assigning a numeric score to a customer, transaction, or entity that estimates the likelihood of a specific negative outcome. Transaction monitoring Ongoing, largely automated screening of financial transactions to flag activity that may indicate fraud or laundering.