AI & Data Governance in FinTech: Practical Oversight Beyond the AI Act

Introduction

This new webinar will provide you with a practical, implementation-focused approach to standing up AI governance frameworks in financial services - focusing on model inventory and risk tiering, validation and monitoring, data lineage, and vendor controls - while aligning with Consumer Duty and financial crime requirements.

This webinar is designed for SMF16/17, Risk Managers, Compliance Officers, Data and Model Owners, Procurement Teams, and other Senior Management Functions.

What You Will Learn

This webinar will cover the following:

• Why Governance, Why Now
• Regulatory momentum: UK approach beyond the EU AI Act (FCA, PRA, ICO expectations)
• Links to Consumer Duty
• Financial crime implications
• Role of innovation sandboxes and controlled testing environments
• Core Governance Toolkit: Practical Implementation
• Model inventory
• Risk tiering
• Validation and monitoring
• Performance metrics
• Human-in-the-loop oversight
• Model cards: structured documentation to support audit and explainability
• Data Guardrails
• Data lineage and traceability
• Lawful basis and DPIA/AI assessments: embedding privacy and risk reviews
• Retention and minimisation: avoiding unnecessary accumulation of risk
• Vendor data rights and usage: ensuring clarity and compliance in sourcing
• Auditability and evidence
• Third-Party and Procurement Controls
• Due diligence for third-party models and AI tools
• Procurement checklists
• Key contractual clauses
• Ongoing assurance and monitoring to avoid “set and forget”

This pre-recorded webinar will be available to view from Monday 16th February 2026

Alternatively, you can gain access to this webinar and 2,101 others via the MBL Webinar Subscription. Please email webinarsubscription@mblseminars.com for more details.