Australian fintech strengthens risk management with SEON to scale lending operations securely and efficiently.

MoneyMe, an Australian-based digital non-bank lender offering innovative auto loans, personal loans and credit cards, has selected SEON’s unified platform to bolster fraud detection as it continues its growth trajectory.

The fintech aims to leverage smart technology and AI to reshape how Australians access credit, with rapid credit decisioning and a seamless digital experience.

MoneyMe will deploy SEON’s command center for fraud prevention and AML compliance to support its multi-product portfolio, strengthening capabilities in device intelligence, behavioral analysis and second-party fraud detection. The decision follows an evaluation of multiple vendors and reflects MoneyMe’s focus on preemptively improving risk management capabilities without compromising customer experience.

“SEON stood out for its flexibility, strong device intelligence and scalability,” said Jonathan Wu, MoneyMe’s Chief Operations Officer and Chief Product Officer. “Its platform will help us consolidate tools, reduce complexity and enhance both fraud prevention and operational efficiency as we grow.”

The phased rollout includes fraud prevention and credit decisioning enrichment via SEON’s data engine. MoneyMe will gain comprehensive visibility across all risk vectors through SEON’s integrated dashboard, enabling coordinated response across their fraud, risk and compliance teams.

“MoneyMe is the kind of forward-looking fintech we built SEON for,” said Troy Nyi Nyi, Senior Vice President and GM, APAC, SEON. “By combining device intelligence, digital footprinting and real-time compliance in one centralized command center, we’re helping them to both stop fraud before it starts and scale securely.”

MoneyMe aims to futureproof its fraud detection approach, add additional data points to enhance credit modeling accuracy and generate cost savings across KYC and onboarding workflows. The company also plans to expand SEON’s role to include transaction monitoring in future phases.