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Volume 9 (2024-25)
Each volume of Journal of Digital Banking consists of four 100-page issues published both in print and online. Articles scheduled for Volume 9 are available to view on the 'Forthcoming content' page.
Volume 9 Number 2
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Editorial
Simon Beckett, Publisher -
Practice Papers
Essential requirements for central bank digital currency
David Chaum, Founder, xx network and Thomas Moser, Alternate Member of the Governing Board, Swiss National Bank
Any central bank digital currency (CBDC), regardless of the specific architecture and design, should fulfil the following three essential requirements: (a) the CBDC is protected against counterfeiting, and any counterfeits are irrefutably verifiable; (b) payments with CBDC maintain privacy without facilitating criminal activity; (c) CBDC withdrawals and payments can be made with a smartphone, and the smartphone application conforms to current smartphone and network capabilities as well as user interface paradigms. In this paper, we provide explanations, justifications and details of the three requirements.
Keywords: central bank digital currency (CBDC); cash; eCash 2.0; privacy -
Development of optimised causal AI and its application in retail banking
Sai Chaitanya Molabanti, Associate, DBS Tech India, et al
Causal artificial intelligence (AI) has emerged as a promising approach in machine learning (ML), as it considers not only correlations but also cause-and-effect relationships in data, resulting in more human-like decision making. The pivotal stages within causal AI involve causal discovery and inferencing, each playing a crucial role in extracting meaningful insights from the data. In the realm of causal discovery, various algorithms have been developed to uncover the underlying cause-and-effect structures within data sets. A notable limitation, however, surfaces when attempting to apply these algorithms to data sets characterised by binary variables. This constraint prompts a crucial examination of the current methodologies and calls for innovative solutions that can seamlessly navigate the complexities of binary variable data sets. This paper proposes an optimised causal discovery algorithm that is integrated with the causal inference method based on the estimation of conditional average treatment effects (CATE) scores. The results present the potential of causal AI in terms of incremental impact on the predictive capability of AI/ML models. And the incremental impact is elucidated by comparing conventional propensity-based modelling and causal AI-based modelling by means of a use case in the field of retail banking.
Keywords: causal AI; causal discovery; causal inference; CATE -
Navigating ISO 20022 maintenance in a connected world: A vision for harmonisation
Melissa Gauci, Program Manager, Australian Payments Network
The implementation of ISO 20022 in payment infrastructures has been hailed as a paradigm shift towards seamless transactions, heralding flexibility for financial market infrastructures (MIs) and enabling the creation of bespoke ISO 20022 variants. The initial allure of this flexibility, however, led to an unintended consequence — a proliferation of variants with different timelines, versions and market practices. This fragmented landscape has introduced challenges for organisations seeking to achieve high levels of automated ‘straight-through processing’. Different variants affect end-users’ ability to automate reconciliation processes and complicates endeavours to establish and sustain a cohesive ISO 20022 future. As we navigate the intricacies of a globally interlinked financial ecosystem, the role of ISO 20022 maintenance has emerged as a linchpin in the seamless exchange of standardised financial messages. This paper emphasises the importance of streamlining the ISO 20022 environment and messaging life cycle to facilitate efficient maintenance processes, foster broader harmonisation and usher in an era of truly frictionless payments. In proposing this shift, the paper advocates for a transformative approach. It posits two opportunities: the establishment of a unified, industry-led governance structure and the definition of a common message template. These initiatives are envisioned as essential to harmonising the fragmented ISO 20022 landscape, offering a path for end-to-end interoperability across the diverse payment chain. While acknowledging the ambitious nature of these proposals and timelines, the potential benefits are significant. The proposed initiatives could lead to more efficient maintenance processes, enhanced interoperability and a shared framework for ISO 20022 payments. The industry faces a crucial choice — whether to embrace this ambitious evolution or settle for the status quo. The imperative is clear: achieving a more interoperable and harmonised future for ISO 20022 payments is not just an opportunity but a necessity for the industry’s continued growth, resilience and operational efficiency.
Keywords: cross-border payments; harmonisation; ISO 20022; maintenance processes; messaging standards; high-value payments -
Leadership evolution in the age of artificial intelligence
Aris Jerahian, FinTech Executive
Advocates of artificial intelligence (AI) envision a future where intelligent machines can perform routine tasks, allowing humans to focus on creative pursuits. Despite concerns about job losses, organisational think tanks believe that humans and machines can work together to achieve better results. This paper explores the interaction of AI and leadership to improve organisational performance. It inspires enthusiastic optimism in some managers and fear and scepticism in others. It is crucial to acknowledge and address these concerns as increased emotional tension always accompanies new phenomena. The paper explains that leaders who prioritise outcomes over technology can devise effective AI strategies that improve human capabilities, which could lead to a more productive, meaningful and fulfilling future of work. The paper uses pertinent tables to understand better the overall impact of AI on corporate culture and work style as well as its socioeconomic implications in the workplace. The paper concludes with a focus on hybrid models that combine human intelligence with machine intelligence to get exponential results.
Keywords: artificial intelligence; AI; corporate culture; future of work; human augmentation -
The evolution of exceptions and investigations messaging and flows
Chloe Jenkins, Chair, UK Banking and Payments Committee
This paper aims to provide the reader with information concerning the migration of exceptions and investigations (E&I) messages from the FIN MT format to the ISO 20022 format. In addition to this format migration, there are improvements that Swift will implement as part of their Case Manager product, such as smart routing of E&I messaging, automated confirmation of receipt messages and automated reminder generation. These enhancements will bring many benefits for financial institutions, such as cost reductions, due to a decrease in the number of cases being raised (ie no need to raise a case when playing the role of an intermediary for some investigation types), increased automation due to the new, structured elements of the ISO messaging format and clear investigation types, speed of resolution due to the smart routing logic and reduction of messaging legs required and fewer processes for operators as generation of the confirmation of receipt and the reminder/chaser messages are initiated by the Case Manager rather than requiring an operator to initiate these. This paper provides an overview of the ‘As is’ and ‘To be’ message formats and flows to enable the reader to fully understand the benefits that this migration will bring and the changes that will be mandated within the industry in the E&I space.
Keywords: exceptions; investigations; camt.110; camt.111; E&I; ISO 20022 -
The new era of Bitcoin: Profits, progress and potential in the inscription-driven crypto industry
Hui Gong, Lecturer in Decentralised Finance and Blockchain, UCL Institute of Finance & Technology and Han Wang, Fund of Funds Investment
The introduction of the Ordinals Protocol and BRC-20 tokens, featuring the pioneering concept of Inscriptions, signifies a pivotal evolution in the Bitcoin network. Officially launched on 21st January, 2023, this innovation embeds a unique blend of tokenisation and non-fungible attributes directly into Bitcoin’s base layer, akin to engraving precious metals. This paper thoroughly examines the technical underpinnings and market implications of BRC-20 tokens, focusing on the stark contrasts with traditional ERC-20 tokens and initial coin offerings. Unlike ERC-20, Inscriptions integrate seamlessly into Bitcoin’s existing structure, offering a decentralised model that strengthens the principles of a true fair launch in decentralised finance. The study critically assesses the reception within the Bitcoin community, balancing the potential enhancements in Blockchain functionality against concerns regarding foundational principles. Furthermore, it explores the profound implications for stakeholders such as miners, exchanges and developers and evaluates the transformative impact on the cryptocurrency ecosystem at large. Ultimately, this paper elucidates the role of Inscriptions in redefining the trajectory of Bitcoin and shaping the future landscape of Blockchain technologies, emphasising their potential to foster equity and innovation in token distribution.
Keywords: Bitcoin; BRC-20; decentralised finance; fair launch; Inscriptions; Ordinals -
Low/no-code and traditional code integration in digital banking
Yeo Kim Siang, Postgraduate Student and Alan Megargel, Associate Professor of Information Systems (Practice), School of Computing and Information Systems, Singapore Management University
This paper seeks to combine the merits of low/no-code programming (LNCP) with traditional programming (TP) systems for increased agility in digital banking software development. While it is easy to fall prey to shiny object syndrome in today’s dynamic banking technology landscape, it is not easy to select the right technology to suit the current and future needs of the financial industry. Instead, LNCP makes it possible to lower the technical entry barriers to technology development. Integrating TP with LNCP, when needed, compensates for the shortcomings related to LNCP and provides digital banks with a more comprehensive software development approach. The adoption of this approach improves time-to-market of new innovative financial solutions. There has been little progress in this direction, academically or in practice. This paper includes an empirical study, interviews with banking professionals, on the merits of LNCP and TP, as well as an experimental project implementation that integrates LNCP and TP in the development of a retail Internet banking application. In the context of digital banking solution development, the result of the experiment reveals the merits of LNCP/TP hybrid systems in terms of agility, scalability, change management and cost-effectiveness.
Keywords: low/no-code programming; LNCP; software development; agility; digital banking; Internet banking
Volume 9 Number 1
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Editorial
Simon Beckett, Publisher -
Practice Papers
Big Data in the financial industry: Applications, potential and regulatory approaches
Joachim Wuermeling, European School of Management and Technology Berlin and Nils Müller, Deutsche Bundesbank
In the financial industry, the volume and complexity of data is growing exponentially. These vast amounts of data can potentially offer valuable insights that can contribute to process optimisation, risk management and decision making. Many companies in the industry, however, face the challenge of how best to leverage this data. Despite a general awareness of the significance of Big Data, there is often uncertainty surrounding the optimal use of this data for practical applications. This paper summarises the existing real-world applications, especially those with implications for financial stability, and highlights the specific benefits of Big Data in the financial sector. The paper comments on the role and implications of Big Data regulation from the perspective of a regulatory authority. It shows that artificial intelligence (AI)-driven Big Data processing has expanded from customer interfaces to banks’ back ends. Numerous use cases exist along the value chain within the financial sector, including at central banks. Big Data offers both opportunities and risks for the financial system as a whole. The paper thus also emphasises the importance of striking a balance with regard to regulating AI. Overall, the paper argues that the effective use of Big Data has the potential to enable the financial industry to cultivate better efficiency in business practices and ensure greater resilience in the financial system.
Keywords: open banking; API strategy; platform banking; partnership ecosystems; data-driven insights; advanced analytics -
Secrets to successful bank and FinTech partnerships for credit and deposits
Rebecca Bacon, VP Head of Financial Institutions, Upgrade
This paper aims to provide a road map to a successful long-term partnership between traditional financial institutions (FIs) like banks and credit unions with a financial technology (FinTech) platform. This is a summary of lessons learned from developing and launching over 200 bank/credit union partnerships with a FinTech lending platform. Drawing on experience with financial institutions of all shapes and sizes, this paper details best practices to create a scalable way of providing custom solutions to the problems faced by the modern depository institution. This includes a particular focus on lending/ credit products, and how the effect of FI and FinTech lending programmes can add value while mitigating risk. The paper focuses on depositories domiciled in the USA and the American banking system’s regulatory environment, but many of its themes will be applicable to international organisations.
Keywords: Big Data; financial industry; artificial intelligence; AI; machine learning; regulation -
The journey towards a responsible AI future: Hype, fear and hope
Theodora Lau, Unconventional Ventures
This paper discusses artificial intelligence’s (AI’s) growing prominence in, and impact on, various aspects of our daily lives, with a focus on the financial services industry. It highlights the evolution of use cases in banking against the backdrop of the hype cycle that we are in today and discusses how the technology can be used to streamline operations, increase productivity, drive new business opportunities and improve financial inclusion. It also urges readers to be mindful of the multifaceted impact of the technology and the responsibilities that organisations must bear to ensure reliability, transparency, safety, security, explainability, privacy and fairness. The author emphasises the importance of trust as a cornerstone and advocates for diversity in AI development and data representation to avoid reinforcing biases and inequities in our society. The paper is a call to action for a more thoughtful approach to innovation — urging stakeholders to recognise the shared responsibilities in shaping a human-centric, inclusive and trustworthy future.
Keywords: artificial intelligence; future of work; responsible AI; ethics; FinTech; AI in banking -
Data science in economy and finance: A central bank perspective
Douglas Araujo, Bank for International Settlements et al
Data science is fundamentally different from traditional data analysis, as it typically applies to large, complex and/or unstructured information sets. The role of data scientists, hence, lies at the intersection of three areas. The first is IT: central banks are increasingly aware that a modern technological architecture is crucial to reliably and securely deal with data. The second relates to the use of mathematical and statistical techniques to deal with the raw data at hand. This paper analyses how many different approaches can help support central banks’ operations, especially in the monetary policy and micro- and macroprudential areas, as well tasks related to the functioning of the payment system, financial inclusion, consumer protection and anti-money laundering. It presents how, in addition, the use of the new techniques could transform the whole production chain of official statistics, making it potentially more efficient, resilient and user-friendly. The third key area is to ensure close cooperation between data specialists and subject-matter experts involved in data science projects. Analysing statistics calls for an awareness of the way they have been compiled as well as of the complex factors that drive them — which are essential elements for transforming data into knowledge and taking informed policy decisions.
Keywords: IT; big data; policymaking; artificial intelligence; AI; official statistics -
Reskilling for the future: Enabling colleagues with a digital mindset who are ready for a future global digital era and platforms
Helen Packard, Financial Conduct Authority and Louise Liu, SOAS University of London
This paper explores the effect of digital skills at the individual, company and national levels to meet the digital era. UK and European Union based case studies are utilised to fully understand how jurisdictions are preparing stakeholders with confidence and digital tools capability and mindsets. The paper explores how large financial services employers and EdTech are striving to meet the challenges of the accelerating digital era. Finally, it aims to further encourage momentum to close the gap in digital skills by preparing stakeholders for success in the digital age. It concludes that the option of not evolving with technologies and data through new digital skills is no longer feasible for successful careers and industries.
Keywords: digital skills; digital tools; challenges; skill gap; digital mindset; EdTech -
Enhancing the quality of banking technology platforms through a hybrid AI testing approach
Iosif Itkin and Elena Treshcheva, Exactpro Systems
In the dynamic landscape of the banking sector, marked by increased operational complexity and regulatory scrutiny, the pursuit of innovation demands a strategic orientation. While offering advantages in cost, quality and speed, this strategic approach to innovation should mandate a cautious consideration of the risks inherent in the integration of emerging technologies. With the continuous advancement of artificial intelligence (AI), particularly generative AI (GenAI), as a method for emerging banking technologies, its wider adoption in the financial industry demands careful consideration of associated risk implications. This paper advocates for a software testing approach that delves into the complexities of banking technology platforms by leveraging generative algorithms to attain extensive test coverage and simultaneously employs rule-based analytics to refine the generated datasets, optimising coverage for faster execution and efficient resource utilisation. Such an approach is in line with a risk-averse innovation strategy, as it balances out the smart creativity of novel GenAI methods with a rule-based discriminative potential of more established symbolic AI methods. This paper serves as a position paper, contributing to the discourse on the integration of innovative testing methodologies in the banking domain.
Keywords: banking technology; software testing; artificial intelligence; AI -
Case Study
Innovations and resilience in Thailand’s payment ecosystem: A comprehensive analysis — Connectivity initiatives, challenges and solutions
Budsakorn Teerapunyachai, Payment and Bond Department and Yanin Bawornkitchaikul, Bank of Thailand
This paper examines Thailand’s strategic initiatives to promote FinTech innovations, cross-border payments, individual and business payments. The primary objective is to showcase how Thailand is successfully capitalising on opportunities in the rapidly evolving payment ecosystem. Central to this adaptation is the modernisation of Thailand’s payment systems, which plays a crucial role in accommodating diverse payment preferences. A consensus on policy statements, guiding policies and collaborative approaches is deemed essential to increase competitiveness and consolidate Thailand’s position as a regional leader in payments. This leadership requires the dissemination of innovative and diverse initiatives focused on enhancing financial connectivity, thereby improving the quality of life and economic prosperity. The extensive use of Quick Response (QR) codes and PromptPay for cross-border transactions, which enable real-time international fund transfers, are important initiatives. Additionally, PromptBiz seamlessly facilitates the transfer of trade data and payment information, particularly benefiting businesses engaged in these processes. Concurrently, the integrity and security of the financial ecosystem are secured through meticulous risk management and mitigation efforts, ensuring a robust foundation for sustained growth and innovation.
Keywords: payment connectivity; FinTech; cross-border payment; Standardised QR; PromptBiz; resilience