CASE STUDY

Fraud Prediction in Real-Time for a Fintech Company


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    Industry | Financial services
    Technology | MLOps
    Location | US

    The client is a financial services provider offering a wide range of services including a credit union, lending home loans, business banking, and other associated services.

    The client’s vision is committed to helping people and their businesses with financial empowerment through professional financial and management consultancy.

    Industry | Financial services
    Technology | MLOps
    Location | US

    The client is a financial services provider offering a wide range of services including a credit union, lending home loans, business banking, and other associated services.

    The client’s vision is committed to helping people and their businesses with financial empowerment through professional financial and management consultancy.


      Read the Full Story

      Challenges

      Using significant human workforce for detecting fraud transactions

      Delayed payoff and increased liability from the institution’s side

      How We Did It

      Our team provided a real-time feature engineering solution for the client’s challenges regarding human and time investment and delays in detecting fraud.

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      Key Outcomes

      66%

      Catching over 66% of fraudulent activities

      3 milliseconds

      Detecting fraud instances within 3 milliseconds of their occurrences

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      Hassan Sherwani

      Head of Data Analytics and Data Science

      It was a great, productive experience working with our client in the credit union space. The teams were collaborative and perfectly understood the pain points, which allowed our data science professionals to provide the best possible solutions for fraudulent transactions.

      66%

      Catching over 66% of total fraudulent activities

      Audience

      • Executives, CTOs, Director

      • IT Consultants

      • Business Analysts

      • Project Managers

      • IT Project Coordinators

      • Architects and Specialists

      Case Study

      Learn how our machine learning solution helped the client in fraud detection cases.

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