FinTech Disruption Hackathon 2024
A focused hackathon for financial services innovation, where teams built AI-driven solutions for payments, risk management, and regulatory compliance. Sponsored by leading European banks and fintech firms.
Event Overview
The FinTech Disruption Hackathon 2024 gathered 72 participants in London to reimagine financial services through AI. Sponsored by three leading European banks and two fintech scale-ups, this event focused exclusively on the unique challenges and regulatory constraints of the financial industry.
Challenge Tracks
Teams selected from two core tracks:
- Payments & Fraud — Build intelligent systems for real-time fraud detection, payment optimization, or cross-border transaction efficiency
- Risk & Compliance — Create AI tools that streamline regulatory reporting, automate KYC/AML processes, or improve credit risk modelling
Judging Criteria
A panel of industry executives and technical leaders evaluated each solution:
- Regulatory Awareness (25%) — Understanding of compliance constraints and data privacy
- Technical Sophistication (25%) — Model quality, system architecture, and code maturity
- Customer Impact (25%) — Clear benefits for end users or operational teams
- Scalability (25%) — Ability to handle production volumes and integrate with existing infrastructure
Results
The event produced three solutions that entered pilot programmes with sponsoring organizations within 90 days. The winning team's fraud detection prototype reduced false positive rates by 40% on the provided test dataset.
Teams & Winners
Meet the teams who competed and the projects they built.
Team PayFlow
A real-time fraud detection system using graph neural networks to identify suspicious transaction patterns across payment networks. FraudShield reduced false positive rates by 40% compared to the baseline rule-based system.
Team RiskGuard
An AI-powered regulatory change management platform that monitors global financial regulations, extracts requirements, and maps them to internal controls. RegLens demonstrated automated compliance gap analysis across 3 jurisdictions.
Team SmartLedger
An explainable AI credit scoring system that combines traditional financial data with alternative data sources to improve lending decisions for underserved populations, while providing clear explanations for every decision.