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

Testimonial

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

Case study
Surveillance And Monitoring Using Deep Learning

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