CASE STUDY
Fraud Prediction in Real-Time for a Fintech Company
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.
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.
Challenges
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.
Key Outcomes
66%
Catching over 66% of fraudulent activities
3 milliseconds
Detecting fraud instances within 3 milliseconds of their occurrences
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
Case Study
Learn how our machine learning solution helped the client in fraud detection cases.
