Fight Financial Crime
Optimus Advanced Data Analytics
Fraud and Risk Analytics
The Optimus Fraud and Risk engines employ a combination of rules-based and data modelling techniques to fight financial fraud. Our analytics platform monitors any data sets retrieved through Robotic Process Automation (RPA)/data mediation. Optimus analyzes and predicts fraud patterns across accounts, payments, devices, online banking, sanction information and builds score cards and risk rating profiles. Decision-making can be semi- or fully automated depending on your preferred escalation model.
Optimus is high performing, scalable and open; it provides modular functionality and allows deployment on various technology stacks.
Know Your Customer (KYC)
Optimus DAE delivers full customer profiling , including sanction screening and monitoring of a customer's activities and across assets. In addition, the analysis can include link analysis and behavioural profiling over a period of time, as well as build-up of a risk or customer value score. The decision rules or score-based evaluation fulfils Customer Due Diligence (CDD) requirements and can automatically be escalated for Enhanced Due Diligence (EDD) assessment.
Application Risk and Credit Scoring
Optimus identifies application risk based on rule-based and score-based data models, in real-time and seamlessly. Our solution offers a web-based front-end or mobile Point of Sale (POS) device to capture customer data including biometric information to deliver a complete digital experience for the credit application and credit evaluation process.
With Optimus we enable your organization to perform short to real-time credit approvals seamlessly.
Anti-Money Laundering (AML)
Optimus AML tracks internal and external suspicious behaviours to put you in the best position to stop money laundering while minimizing service disruptions to continue delivering your best customer experience. Our analytics engine and algorithms look across accounts, payments, customer interaction and internal staff behaviour. Decision-making, rule or score-based, will be brought to the attention of your compliance department, but can be automated to intercept and prevent major fraud activities to protect your organization.
Optimus Link Analysis uses graph algorithms to identify relationships based on weightage (representing relevance) linking nodes, which represent persona or assets. Link analysis in financial crime investigation is, for example, useful to identify the Ultimate Beneficial Owner (UBO) of an account.
Customer or related business partners behaviour is profiled by Optimus measuring and analyzing data over a period of a rolling past time window. The data is scored and verified by Optimus DAE rules to identify suspicious activities and escalate them for further fraud investigation or immediate interception/suspension.