CASE STUDY
Surveillance And Monitoring Using Deep Learning Surveillance & Monitoring | Machine Learning on ELK
About Client
Our customer is a global investment manager with 16Bn AUM, based in NYC. The firm’s investment flexibility accommodates continual repositioning of the portfolio to capitalize on the most compelling risk-adjusted investment opportunities with specific return and liquidity objectives. The firm fosters a culture based on openness, global teamwork, and inclusion. It strives to unravel the complexities of investment strategy, management, and corporate culture, with its commitment to excellence.
Business Challenge
- Proactively detect any unauthorized sharing of information with fraudulent intent
- Monitor documents without manual intervention
- Maintain statutory compliance
Key Highlights
- Rule-based approach leveraging Kibana’s filter mechanism
- Machine learning approach leveraging anomaly detection
Results
- Upto 28% Compliance team’s costs savings
- 4x Increase in processing potentially fraudulent
activities
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Testimonial
The Magic FinServ team has a thorough knowledge of our business ecosystem, which helped define a solution that fits right within our existing processes and multitude of workflows. They accomplished it without a significant learning/implementation curve for our team, which speaks volumes about their commitment to customer-centricity. We are looking forward to working with them for applying machine learning across several other areas of operations.
Senior Partner, Global Alternative Investment firm with $16Bn
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