As banks and capital markets firms race to adopt agentic AI, modernise legacy platforms and respond to growing regulatory scrutiny, quality engineering has moved from a technical discipline to a board-level concern.
On September 16, senior technology, testing, quality engineering, DevOps, software risk and operational resilience leaders will gather at the America Square Conference Centre in London for the 10th anniversary edition of the QA Financial Forum London, the flagship event focused exclusively on quality engineering and software risk management in financial services.
The event arrives at a pivotal moment for the industry. Generative AI tools have already become commonplace within software development teams, while a new wave of agentic AI technologies promises to automate increasingly complex testing, engineering and governance tasks.
At the same time, regulators are placing unprecedented focus on software resilience, operational risk, data governance and technology oversight.
Unlike broader technology conferences, the QA Financial Forum London is designed specifically for banking and capital markets professionals responsible for software quality, testing, digital resilience and technology risk.
The agenda combines practical implementation case studies from financial institutions with strategic discussions on the future of AI-driven software delivery.
One of the most anticipated sessions will be delivered by Sheeran Dambri, QA Advisory Lead at Pictet Asset Management. Dambri will examine how the European Union’s Digital Operational Resilience Act (DORA) is reshaping software risk management and explain how Pictet has translated regulatory requirements into measurable quality engineering practices.
Attendees will gain insight into how testing metrics, application KPIs and software quality controls are increasingly becoming part of regulatory reporting frameworks and supervisory expectations.
The conference’s opening leadership discussion on AI and quality engineering will explore one of the industry’s most pressing questions: where should firms invest next?
While many organisations have already adopted AI-assisted testing tools, the next generation of platforms promises autonomous defect prediction, intelligent test generation, code translation and risk-based testing at enterprise scale.
The panel will explore how firms are measuring return on investment, evaluating build-versus-buy decisions and developing governance frameworks for testing AI-generated outputs.
The challenge of managing increasingly autonomous software systems will also be explored by Dror Avrilingi, CTO and Head of QE Studio at Amdocs Studios.
His session, “Crossing the Quality Breakpoint”, examines how traditional quality assurance models are struggling to keep pace with systems capable of generating code, making decisions and adapting dynamically.
Drawing on experiences working with major enterprises, Avrilingi will outline how quality engineering must evolve to maintain trust, governance and control in the agentic era.
Beyond testing automation itself, the agenda focuses heavily on the broader challenge facing financial institutions: managing software risk at enterprise scale.
A dedicated session on cloud resilience and AI-driven observability will examine how organisations can move beyond automated testing and use AI to improve software risk decision-making across large, complex environments.
Topics will include application observability, resilience metrics, incident management, software security and protection against emerging cyber threats.
With regulators increasingly demanding evidence of operational resilience, many firms are now looking for ways to demonstrate control across thousands of applications and services.
Data management remains another critical challenge. The conference’s discussion on AI-ready data for DevOps will explore how firms can securely integrate production-quality data into cloud-based test environments while maintaining compliance and protecting sensitive information.
Experts will discuss synthetic data, data masking, lineage management, sovereignty requirements and the data foundations needed to support AI-enabled development and testing initiatives.
The practical realities of AI-powered testing will come into sharp focus during the session, “Join the QA Trailblazers: The New Rules of Software Testing in the Age of AI”. Rather than focusing solely on AI-generated test scripts, the discussion will examine how leading organisations are rethinking automation altogether.
Topics such as token economics, service virtualisation, environment provisioning and autonomous testing systems reflect growing recognition that successful AI adoption depends as much on data and infrastructure as on the AI models themselves.
Customer experience and accessibility complete the day’s agenda. As digital banking channels become increasingly important competitive differentiators, firms are facing growing pressure to improve usability, accessibility and application performance.
The afternoon panel on UX and accessibility testing will examine how organisations are embedding accessibility requirements into DevOps pipelines while using automation and AI to improve customer experience and reduce the growing gap between issue detection and issue resolution.
What makes the QA Financial Forum different is its focus on the intersection of quality engineering, software delivery and financial-sector risk management.
Rather than treating testing as a standalone discipline, the event examines how quality engineering is becoming a strategic enabler of digital transformation, operational resilience and AI adoption across banking and capital markets.
As financial institutions increasingly rely on autonomous software systems, AI-powered development tools and complex cloud infrastructures, the ability to measure, govern and assure software quality has never been more important.
The QA Financial Forum London 2026 offers a rare opportunity for technology leaders to benchmark approaches, share lessons learned and gain practical insight into how the industry’s most advanced organisations are preparing for the next era of software engineering.
For professionals responsible for testing, quality engineering, DevOps, software risk, resilience or AI governance, the conversations taking place in London this September are likely to help shape the next generation of software delivery across financial services.
More information about the QA Financial Forum London 2026 on September 16 can be found here.
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