AI-driven RegTech monitoring Nasdaq and the NYSE trading

AI-powered monitoring and fraud detection at a massive scale

AgileEngine experts owned the architecture and implementation of the core intelligence layer behind the client’s market surveillance platform. Our team developed deep learning models and large-scale data processing pipelines that continuously analyze trading activity across multiple exchanges, operating directly on top of one of the world’s largest data warehouses. The resulting solution automatically flags potential violations, triggers investigation workflows, and generates audit-ready intelligence while meeting stringent SEC compliance requirements.

Key deliverables

• Fraud and insider trading detection systems that utilize deep learning and scale to billions of operations
• Pattern detection solutions that run against a data warehouse to automatically catch violations and start an investigation process
• Continuous improvement of fraud detection algorithms utilizing machine learning and deep learning
• Test data for algorithms and the consolidation of audit trail programs
• Cloud solutions for data streaming, processing, monitoring, application hosting, and more

Technologies

Python, Java, Scala, Apache Spark, Hadoop, AWS, Angular