AI-Driven Credit Risk & Fraud Detection for a Financial Services Client — Streamlined Risk Assessment, Reduced Fraud Losses & Boosted Retention

Industry: Financial Technology

Client

Top AI-Driven Financial Services Company

Goal

To enhance credit risk modeling and improve fraud detection using AI, leveraging unconventional data sources to optimize underwriting processes and reduce fraudulent activity.

Challenges

  • Designing next-generation credit risk models for real-time creditworthiness assessment and fraud detection.
  • Improving pricing strategies to optimize financial performance.
  • Enhancing customer retention through better predictive insights.

Solution

Developed AI-driven credit risk models leveraging unconventional data and customer genomics to improve underwriting accuracy.

Designed and implemented AI-powered fraud detection systems using behavioral and transaction data, and optimized pricing strategies to boost retention and profitability.

Built and scaled a 350+ member team across data science, engineering, and decision science to drive enterprise AI initiatives.

Impact:

Streamlined credit risk assessment processes, increasing operational efficiency.

Reduced fraud losses and improved transaction security through AI-driven detection systems.

Boosted customer retention and profitability with AI-optimized pricing and personalized recommendations.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.