The QA Financial Forum is a unique conference for Heads of QA, testing, software engineering, DevOps, operational risk, and IT risk management. The Forum discusses the key issues facing banks, trading platforms and insurance companies as they seek to implement new technologies in software automation. A key focus is how financial firms benchmark software quality, especially as regulators increase their scrutiny of IT risk management.
Matthew Crabbe, CEO and Founder – QA Media
This opening session will address the transformation path from Quality Assurance to Quality Engineering. It will be explained how the performance of engineers, software automation and CI / CD developers can be evaluated and how this transparency becomes a key factor for change. Shedding light on current techniques, this presentation will talk about the latest quality engineering paradigms including chaos engineering. Ultimately, this transformation concerns people: the conquest of hearts and minds and the formation of high-performance teams can change the level at which organizations operate.
What is best practice in embedding security and penetration testing in the SDLC? And, as the move to the Cloud continues, how can firms create and enterprise view of data management that incorporates their investment in test environments? In particular, the panel will discuss the potential and limitations of a DevSecOps framework, and identify which controls firms should be putting into place to position themselves to develop a mature and robust security framework.
Most financial firms have targets for increasing rates of test automation. But many are only at the start of that transformation, and even among the leaders there is no agreed best practice or the toolset. Our panel will discuss the relationship between automation, DevOps and Agile and the business case for technologies such as test service virtualisation and the potential that lies in AI, machine learning and robotic process automation.
During this session, leading firms will examine different methods of testing codes to ensure peak quality and performance. They will explore the potential and limitations of app testing strategies such as crowd testing, accessibility testing, cloud-based testing and automated testing, ensuring that firms understand how different methodologies can be applied to their app testing frameworks, allowing firms to establish effective app software QA.
We have moved to the stage of Blockchain 2.0, where this exciting technology has to be proven in different marketplaces and reporting requirements; from capital markets to KYC compliance. Reliable methods for testing the proliferation of code involved are now required. In particular, our keynote speaker will discuss how leading consortium, such as R3, can establish industry standards.
Speaker: Justyn Trenner, Director & Head of QA Vector® Research - QA Media
An effective quality process architecture gets better software to market faster. But how do you prove this? And what are the risks and threats of not tracking the value achieved? Based on original QA VectorⓇ research, this session will identify the best practices for proving the value of QA to the business.
Insurance companies face the competing requirements of improving profitability while delivering world-class customer service. They are trying to manage growing amounts of data from a wide range of sources. Additionally, they are forced to comply with ever-increasing regulations while providing critical information to the business. This session will address the relation between the newest AI tools with the current regulation.
As financial firms increase their reliance on software-based digital capabilities, they have big decisions to make about how they manage software risk and compliance requirements. This is especially true of decisions around the out-sourcing of code development and testing and also the use of open-source and third-party components. This session will discuss embedding regulatory compliance into outsourcing decisions, how to bench-mark code quality, security and risk, and consider new models for managing off-shoring.
This panel will detail how by using the power of AI, machine learning, we can develop a cognitive bank. It will be explained how by combining machine and human intelligence with data, banks have been able to develop products that offer higher quality UX for customers.
Our expert panellists will focus on how to manage environments and new testing methodologies in the Cloud. Financial companies must ensure that their applications are ready to meet their customers’ needs, therefore this panel will discuss how to meet those challenges, in particular with Cloud-based data and test environments that are dramatically improving the range of load testing.
In the context of automated testing and continuous app delivery, companies can often underestimate the importance of data management. This presentation will discuss key factors that determine the ROI of investing in data environments, including - at the micro level - the choice between hidden and synthetic data and - at the macro level - the opportunity to fully integrate data management with the company's data management. The impact of the Fundamental Review of the Trading Book (FRTB) by the Basel Committee on the requirements for testing trading and risk systems will also be addressed.