AI-Driven Fraud Detection Platform
The Challenge
A Malta-based financial services firm was struggling with manual transaction monitoring processes that could not keep pace with growing transaction volumes. The existing rules-based system generated high false positive rates — consuming analyst capacity on legitimate transactions — while simultaneously failing to detect sophisticated fraud patterns that spanned multiple channels. Regulatory pressure from the FIAU for more robust transaction monitoring added urgency to the problem.
Our Approach
skios designed a machine learning pipeline for real-time transaction scoring, combining supervised models trained on the firm's historical fraud cases with unsupervised anomaly detection for identifying novel patterns. We worked closely with the compliance team to ensure the platform's risk scoring aligned with their investigation workflow and regulatory reporting obligations.
The Solution
We delivered a .NET-based fraud detection platform running on Azure, with Azure Machine Learning models scoring every transaction in real time via a low-latency API. The platform ingested transaction data from multiple channels through Azure Event Hubs, applied ensemble ML models for risk scoring, and surfaced flagged transactions in an analyst dashboard with full transaction context, network visualisation, and investigation tools. Automated suspicious activity report generation streamlined FIAU submissions.
Related Services
AI & Machine Learning Services
Enterprise AI and machine learning solutions for Malta businesses. From predictive analytics and NLP to computer vision and MLOps, we deliver production-grade AI that solves real operational problems.
Enterprise Software Development
Custom enterprise software built for scale, security, and long-term maintainability. We deliver bespoke applications that integrate with your existing systems and evolve with your business across Malta.
Data Engineering & Business Intelligence
Enterprise data engineering, warehousing, and business intelligence for Malta organisations. We build the pipelines, storage, and reporting layers that turn raw data into operational advantage.
More Financial Services Case Studies
Financial Services Integration Platform
A mid-tier bank operating in Malta faced severe operational friction from disconnected core banking, payment processing, and regulatory reporting systems. Staff were manually re-keying transaction data across three platforms, consuming over forty analyst-hours per week and introducing reconciliation errors that triggered repeated queries from the MFSA during compliance audits.
Enterprise Azure Cloud Migration
A Malta-based financial services group operated twenty-three production applications across ageing on-premises servers with limited disaster recovery capability. Hardware refresh costs were escalating, scaling for peak periods required weeks of lead time, and the IT team spent the majority of their capacity on infrastructure maintenance rather than business-enabling projects.
Enterprise API Ecosystem Development
A Malta-based conglomerate with operations spanning insurance, property, and financial services had acquired multiple companies over a decade, each bringing its own technology stack. The group lacked a coherent way for these systems to exchange data, resulting in duplicate customer records, inconsistent financial consolidation, and an inability to offer cross-sell opportunities. Previous point-to-point integration attempts had created a fragile web of dependencies.