Introduction: Risk Management and Financial Technology: Disruption, Obsolescence, Transformation
Fintech and Blockchain
Market Exposure to Fintechs: Too Risky?
Statistical Machine Learning Analysis of Cyber Risk Data: Event Case Studies
Cyber Regulations and Compliance Considerations
The Governance of Strategy and Strategic Technology Risks
Scaling Risk Management for Success
Fintech, Risk Management and Emerging Markets – a Case Study
Economic Drivers of Electronic Payment Systems in Developing and Emerging Markets
Brexit, Fintech and Risk Management for the Financial-Services Industry in the UK and Europe
Cyber-risk Quantification of Financial Technology
Understanding Cyber-Risk and Cyber-Insurance
Cyber-risk analysis in the financial-services sector is finally catching up with its older cousins in financial and insurance risk. Quantitative risk assessment methodologies, such as factor analysis of information risk (FAIR), are steadily gaining traction among information security and technology risk departments and the slow but steady adoption of analysis methods that stand up to scrutiny means cyber-risk quantification is truly at a tipping point. The heat map, risk matrix and “red/yellow/green” as risk communication tools are being recognised as flawed and it truly could not come at a better time. The field’s next big challenge is on the horizon: the convergence of financial services and rapidly evolving technologies – otherwise known as fintech – and the risks associated with it.
Fintech has, in many ways, lived up to the hype of providing financial services in a way that traditional firms have found too expensive, too risky, insecure or cost-prohibitive. In addition, many fintech firms have been able to compete with traditional financial services by offering better products, quicker delivery and much higher satisfaction. The rapid fusion of technology wi