Undetected fraud in trading could result in hundreds of million dollars of fine
Major Wall Street firms have paid huge fines and faced enormous law suits for carrying on business with undetected fraud in Trading. Regulators are introducing new regulations every year that increases the onus on brokers to manage risks related to fraud. Classic cases of fraud in trading are spoofing, layering, front Running, quote stuffing, marking the close all of which are handled by EagleAi. With one module in EagleAi, risk and compliance managers in both first and second line of defense can get a sense of comfort of having extra pairs of eyes monitoring all trading activity and looking out for any fraudulent trading patterns.
EagleAi's Advanced AI Engine
EagleAi has tied up with one of the world’s premier AI research institute and designed a pattern recognition algorithm to detect fraudulent patterns in trading such as Spoofing, Layering and Front Running. Our patent pending algorithm can identify transactions that look suspicious and would alert risk officers in a timely manner. As opposed to problems going undetected for years, potential fraudulent transactions are brought to light by EagleAi in real time for risk managers to take corrective actions. False positives are reduced by EagleAi’s proprietary ensemble model approach.
EagleAi’s cutting edge Anomaly Detection techniques is built for massive scale trading flows. EagleAi will silently watch everything that is happening under the sun and it will automatically learn to detect trends at the client, trader, symbol activity, desk, division and system levels. Abnormal trends i.e. deviations from normalcy that cannot be detected with human eyes or even with any rules based engines is detected by EagleAi. Furthermore, EagleAi’s proprietary triangulation methods identifies the reasons behind the deviations which will help Risk Officers take corrective actions in record time. EagleAi uses three or more Advanced Anomaly Detection models under the hood for each Trading Risk scenarios and it uses a voting mechanism to be certain that the issues raised by models have very high certainty of being a serious event or ‘True Positive’. Every ‘False Positive’ identified is used to further refine the model so that EagleAi learns to identify True Positives more accurately. So, you and your business can be rest assured the ‘Big Bird’ is watching out for you 24×7, 365 days a year and will alert promptly if something is amiss and needs immediate attention.
Configuring EagleAi Fraud Risk module is Easy
EagleAi fraud risk is predesigned AI algorithm for most common fraud patterns. With its self learning engine, it learns to recognize potential fraud actors. If these actors are repeatedly coming under its suspicion, it will raise an alert for the risk managers.
All the common risk scenarios that either are required by the regulators or which has caused many firms to lose a lot of money in the past have been built in in EagleAi TradeWatch modules. New risk scenarios are constantly being added in Trading Risk module as and when a new Trading Risk related loss was encountered by any firm in the industry or when new regulations are added. Furthermore, firms can request development for fraud patterns not yet supported by EagleAi.

