From complex risk to clearer decisions.
Quintics works with financial institutions on risk and financial crime challenges, combining domain knowledge, data science, analytics and technology to improve detection, assessment and decision-making.
Fraud Risk
AML
Enterprise Risk
Model Risk
Analytics-led financial crime intelligence
Financial crime teams deal with large volumes of transactions, alerts and customer information. We use analytics and machine learning to help institutions identify higher-risk activity, improve alert prioritization and support investigations.
Fraud Management Strategy
We help define fraud management approaches across products and channels, using customer and transaction data to improve detection, prioritization and response.
AML & Transaction Monitoring
We apply analytical techniques to transaction monitoring and alert management so investigation teams can spend more time on activity that warrants attention.
Alert Scoring & Prioritization
Analytical and machine-learning models can be used to score alerts and help investigators distinguish higher-priority cases from lower-risk activity.
Forensics & Investigation
We use data and analytical techniques to connect information, identify unusual patterns and provide additional evidence for financial crime investigations.
Financial Transaction Monitoring & Alert Scoring
For a European bank, an analytical solution was developed to score transaction-monitoring alerts and classify them by priority. The solution introduced automated end-of-day scoring while working with the bank’s existing alert-generation and case-management processes.
Reduction in false-positive rate reported in the Sutra case study