Saturday, Jan 28
Building relevant skills for future banking

Building relevant skills for future banking

Just like any other industry, banking has continued to evolve even before early 2020 when the pandemic struck unexpectedly. Research has shown that in the previous decade, the branch footprint had shrunk by about 20 percent in the United States and by 60 percent in Nordic countries. These changes are now evident in almost all the regions across the globe today.

Obviously, these changes are driven mainly by the application of technology in banking. Moreover, consumer needs are fast evolving rapidly, as people continue to expect more and more from their online banking services. Consequently, as banks digitize their front ends in response, they also establish next-generation technologies in the middle and back offices to help save costs and provide better services. A pre-COVID-19 research on the future of work by Mckinsey suggests that almost all roles in bank branches will decline over the next decade.

The average branch size is projected to shrink from six full-time equivalents to four by 2030. Unfortunately, the global pandemic has accelerated those trends and has added urgency to the discussion. Aside the risk of potential job losses, Banks now have to learn to respond and adapt quickly to changes in the ecosystem. According to McKinsey, banks’ HR leaders, in the first several months of the crisis, successfully adapted their organizations and ways of working; banks and their workforces responded remarkably well.

The Quick response and adaptability during the pandemic, according to McKinsey, has affected banks’ organizational structures in three ways. First: the crisis has accelerated the shift from hierarchical structures to agile ones, in which individuals have autonomy, leaders delegate to empowered teams, and relationships are less formal and more flexible. Second: banks have redeployed talent from surplus to shortage areas to help save costs and bolster reputations. Finally: banks have offered training on new skills that people can use in their current jobs (upskilling) or for new jobs (reskilling).

Now, banks are sifting through the changes brought about by the COVID-19 crisis to understand which ones are temporary and which are permanent. One of such important decisions that banks are faced with is the need to have a formidable workforce that can thrive amid difficulties whilst ensuring that banks meet the needs of their customers. This, therefore, makes it more important for banks to concentrate on building future workforce, strong enough to deliver results.


To start with, Banks or HR leaders need to make a decision as to whether to continue to hire new employees or to hone the skills of existing ones to carry out new tasks. This decision usually requires a careful analysis; a cost-benefit analysis. McKinsey research shows that redeployment with effective reskilling is 20 percent more cost-effective than “hiring and firing”, as it reduces the number of new hires and the number of layoffs needed.

Also, it boosts an employer’s brand reputation by building a healthy employee value proposition marked by robust investment in people. However, to many HR leaders, reskilling has always seemed like a complex and lengthy process that requires a lot of preparation and shows impact only in the medium or long term. This, has therefore, slowed its adoption by large organizations.

Luckily, McKinsey, through its conversations with banks’ Chief HR Officers (CHROs) who have thrived during this crisis, outlined five lessons on how to reskill successfully


The first thing to do is to consider upskilling proactively based on strategy needs and industry trends. This means that before initiating any upskilling or reskilling effort, it’s important to know what the effort is for and what skills are in scope. Based on forecasts of shifts in the role mix, banks have focused on critical skills for specific roles (for example, remote skills for advisers) and for general needs across roles (for instance, adaptability skills).

According to McKinsey, banks that have achieved productive reskilling have designed the learning objectives in close alignment with their strategy. For instance, a US retail bank was able to reskill many of the branch employees into universal-banker roles by equipping them with basic general consulting skills, as well as enhanced technical skills.


Also, Banks need to analyze skill adjacencies before launching any reskilling effort. Finding source roles with the closest skill match to destination roles can minimize reskilling needs and enable quick reskilling that focuses on missing skills. One example of quick reskilling is micro-skilling, which provides ad hoc training (a maximum of one or two days) for specific skill sets.

During the COVID-19 crisis, some banks trained tellers to become customer-service reps and trained customer-service reps to become universal bankers. This was possible mainly due to the skill adjacencies of these roles. For instance, high-performing tellers possess the customer-engagement and influencing skills that customer-service reps require. Likewise, high-performing customer-service reps have the understanding of bank products and services that is needed from effective universal bankers.

Also, Banks need to analyze skill adjacencies before launching any reskilling effort. Finding source roles with the closest skill match to destination roles can minimize reskilling needs and enable quick reskilling that focuses on missing skills. One example of quick reskilling is micro-skilling, which provides ad hoc training (a maximum of one or two days) for specific skill sets.

During the COVID-19 crisis, some banks trained tellers to become customer-service reps and trained customer-service reps to become universal bankers. This was possible mainly due to the skill adjacencies of these roles. For instance, high-performing tellers possess the customer-engagement and influencing skills that customer-service reps require. Likewise, high-performing customer-service reps have the understanding of bank products and services that is needed from effective universal bankers.


In reskilling, many banks emphasize the need for investing in large infrastructure and systems. This would ideally contain several elements, such as the skill inventory and an internal talent market to encourage mobility and reskilling needs.

It could also contain a central library to offer online and offline training, and a learning factory to build reusable learning content. To reskill its 3,000 tellers, McKinsey indicated that the midsize European bank built a new, digital corporate academy, where learning materials were migrated and delivered through digital channels. Besides, to make the learning journey easier, it also transformed legacy learning modules. For example, shorter, two- to four-minute instructional videos replaced older, two-hour videos.

The European bank also developed a reskilling tool to help match employees to new roles for when the bank needs to hire internally. Training employees require that formal infrastructure be put in place. In 2020, many banks faced challenges when they had to move quickly to train employees but had little formal infrastructure in place to do so.


Another important measure for effective reskilling is to invest in leadership and ensure sufficient talent developers. Nevertheless, these initiatives require committed leadership to succeed. The workforce of the future will need leaders who are similarly advanced. Thus, people who create a positive and nurturing growth environment rather than simply telling people what to do.

Additionally, such leaders are people who communicate with employees clearly and transparently about the company’s change programs. The success of most banks is based on strong leaderships that are able to carry their followers along in every activity of the banks, especially during crisis. For example, one executive at ING explained that leadership “is about letting people see what are the different doors and helping to open them”. Similarly, the success story at the midsize European bank was also built upon strong leadership champions.

In that regard, it is also important to have “talent developers”– people who are able to identify, assess, and train employees as needed. These could be HR business partners, functional leaders, or middle managers. Talent developers help leaders translate the direction of the business into talent requirements. They can also help identify the right people for future needs and, with support from learning and coaching experts, can help them get there.

The financial-services industry has faced dramatic disruption over the past decade, with significant implications for the talent needed in the future. To remain competitive, banks must dynamically redeploy employees to roles with increasing demand, as well as providing employees with diverse career paths and with corresponding upskilling and reskilling support.

Equipped with the right mindset and tools, talent leaders can expand on these changes and get ahead of competitors in building the workforce of the future. Doing so can provide banks with the opportunity to think about not only the next phase of banking but also how to deliver financial products to people. It can also provide an opportunity to exploit digital capabilities and to start thinking about new products, services, and ecosystems.


All of the Chief HR Officers interviewed by McKinsey underlined the critical role that culture plays when implementing quick and efficient reskilling. In their experience, ensuring a homogenous culture is the topmost measure to reskilling. Indeed, given the pressure imposed by the COVID-19 crisis, banks have had to reorganize their workforces quickly.

This has left little time for employees to acclimate to a new culture and to new ways of working before they need to be productive. However, creating a homogenous culture does not often come naturally and usually requires considerable up-front investment. According to McKinsey, Banks that have done this well typically use a mix of capability building and immersive experience.

Additionally, such Banks also rely on a consistent, inspiring communication plan that starts with a clear definition of joint purpose and values. Moreover, building a homogenous learning culture also requires a consistent, ongoing commitment. The more that a bank conceives of it as a journey rather than a one-time training, the better the results will be.

For instance, the US retail bank, which wanted to reinvest in its employees, created a homogenous culture of its own. The bank’s culture has the twin goals of helping employees thrive in the future workplace and helping the bank shift to a more customer-focused culture.

Secret Of Nordic Countries’ Digital Payments Systems

It’s widely recognized that the future of banking is dependent on innovation with key focus on digital platforms that offer diverse products to meet the changing needs of customers. This is evident in the recent increase in the usage of digital payment platforms, especially during the era of COVID-19. Regardless of the recent surge in the usage of digital payment services, some regions still lag. But one region stands tall, the Nordic.

The Nordic countries have been at the vanguard of innovation in digital, mobile, and instant payments for decades. These countries have combined a vibrant competitive landscape of banks, payments specialists, and start-up challengers with a long tradition of cooperation and collaboration. This dynamic has facilitated step-change advances and improvements along the payments value chain from infrastructure services to customer offerings in countries such as Denmark, Finland, and Sweden.
Innovation in the banking sectors of these countries has reached advanced levels. As such, any other country outside the region trying to leverage digitation in the current era may want to pick some lessons from these countries. But then, such a country must be ready to dig deep into the genesis of payment systems in the Nordics.

Government’s Support

Claus Bunkenborg, one of the leaders from the region’s payments industry, averred that among the reasons for their success is the fact that Scandinavian markets are small, so governments have been able to support the banks in collaborating over debit cards, bank IDs, and payments infrastructure for the past 40 years. That paved the way for an early digital transformation of society that allowed banks to drive innovation.

Additionally, Bunkenborg indicated that their success as innovators is because they trust their governments more than many countries do, and are also more willing to share information. This combination of trust and collaboration created a strong foundation for today’s industry.

To add to that, Peter Klein, another digital payments expert from the region, stated that the collaboration happening is not only across the Nordic region, but also domestically with governments and stakeholders. Klein indicated that people understand it’s better to come together, although they are good at stimulating competition in the region.

On the other hand, Lars Sjögren, also a digital payment expert from the Nordic region, believes the longstanding history of conflict in the region plays a significant role in their success. There have been a lot of wars waged between Sweden and Denmark over the years. However, Sjögren said more peace treaties have been signed between Nordic countries than anywhere else, and that the region had monetary unions as early as 1873. These peace agreements now make it possible for these countries to collaborate in driving the digital banking sector.

We’ve never competed with one another for global domination in a particular sector, because each country follows its own path: Sweden as an industrial nation, Denmark as a trader, Norway with its oil. So we’ve learned how to compromise, and being small, we realize we’re stronger together.

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Flags Of Nordic Countries

Nordics As Leaders In Mobile Payments

Nordics are so far ahead in the adoption of mobile payments, and this, Bunkenborg said, is “because we built on this legacy of joining forces”. For instance, Bunkenborg pointed out that although MobilePay is owned by Danske Bank, it was not launched as a solution for Danske Bank customers only; it’s a partnership between all the banks. He explained that both Danes and Finns can use it no matter where they bank, and that fueled its rapid adoption. Bunkenborg added that MobilePay aimed to be accessible to everyone unlike other mobile-payment solutions around the world that require customers to have a particular bank or card or telecoms provider.


Our other advantage was that we focused on solving a genuine pain point: peer-to-peer payments. In-store payments weren’t a pain point for Nordic customers; we trust the cards in our wallets that we’ve used for decades. But we don’t carry cash, so focusing on P2P had an instant “wow” effect on a wide user group, not just nerds. And it grew exponentially and gained traction in other use cases, such as e-commerce and even in-store payments.

Sjögren added that one of the reasons MobilePay took off was its simple sign-on process. All you need is to download the free app, take a minute to sign up, and then you can send money as easily as you can send an SMS. Currently, MobilePay has close to six million users across Denmark and Finland.

For Peter Klein, he loved the way P27 is becoming a bench­mark for a regional approach to moving money across borders. Nevertheless, he believes what the region needs is the “plumbing” that connects everything together: a solid infra­structure driven by rules and governance structures on which to build a more dynamic payment model. Klein believes old models like correspondent banking, have served their purposes for many years but are no longer fit for purpose when it comes to delivering on the demand for faster global payments.
Klein further indicated that the payments business is becoming increasingly commoditized; margins are eroding. As a result, failure to improve the model and reduce operating costs means game over for anyone not willing to embrace the new world.

Moreover, Nordic banks are collaborating and showing good industry conduct against a rich competitive backdrop of fintechs and innovators. There seem to be a contradiction because banks are collaborating whilst also competing. But Claus Bunkenborg explained that banks and other ecosystem players are used to sharing, saying “we know we can’t survive by building things on our own” as a result, “collaboration is in our DNA”.

The government supports us in working together and sharing data. Regulators have created environments where fintechs can access tax data for critical applications, for instance. I think this openness makes us different from other countries.

Traditional Banks Face Competition From Innovative Players

The influx of fintechs and other innovative players in the banking industry means that traditional banks need to change their tactics to remain competitive. As a traditional bank, how should you think about fintechs and other innovative players? Should you be wary of them?

Peter Klein believes the answer is simple; “welcome them”. Klein explained that many of the fintechs collaborate with traditional banking services and rely on partnerships because some of them want to build stronger partnerships while still competing in other areas. To him, that’s going to continue even though the rules of engagement are changing.

Our starting point in Sweden is a well-educated and tech-savvy population who like to try new things, so our barriers to innovation are low, Lars Sjögren said. According to him, the Swedish banking sector is fairly consolidated with four players, but it has profit pools that are easy to attack if you have the digital means to do it. That’s another driver of fintech innovation in the Nordics: when banks decide to leave certain areas.

With all the innovation from Nordic banks and infrastructure providers, customers remain the judges. This is because such innovation must be embraced by the customers, and for that to happen, customers must see the usefulness of the innovation in addressing some of their banking challenges. So, the question is: As a customer, what should I get excited about with all the innovation from Nordic banks and infrastructure providers?

Claus Bunkenborg believes as a customer, you’re getting access to innovative solutions much more quickly than you would in other markets of a similar size, and those solutions are more standardized and more widely accepted. From a merchant’s point of view, Bunkenborg said accepting a new form of payment carries less risk because it’s supported by the whole community. He explained that when you combine digital readiness with collaboration between banks, you take a lot of cost out of the system and provide society with convenience and a lot of other benefits.

Main Trends Affecting The Industry

With regards to the main trends affecting the banking industry and what players must address, Claus Bunkenborg cited the instant payments, mostly driven by P27 as one and the growth in online as another.

For Peter Klein, he believes that one thing payment players need to address is financial crime. Klein explained that during the pandemic, attacks on financial institutions have risen by some 40 percent. Also, he stated that identity theft is also increasing and to him, that’s pretty scary. And then the second trend is investment in emerging technologies, citing blockchain/CBDC3 as an example.

There are very exciting times ahead, although it’s important to appreciate that not all problems can be fixed with a sledgehammer solution. We need to collaborate more closely to help maximize the benefits of these new technologies and realize the potential they offer us as an industry.

Furthermore, Lars Sjögren, thinks instant is the new frontier. He noted that after P2P, the corporate side will be next. He was of the view that once we have real-time cross-border infrastructure, we’ll see great use cases and a universe of cash-management solutions.

Another area to look at could be regulatory supervision and oversight, which varies even among the Nordics. Sjögren stated that Banks have a single license, but if you’re a payments provider, different countries have different rules. He indicated that perhaps the FSB4 road map for cross-border payments will solve the problem over the next ten years, but it’s more urgent than that. To him, if regulators don’t make things easier for institutions that work in a solid way, bottom up, then unregulated competitors will move in.

But to help payment players go the right direction, Peter Klein advised them to learn from P27 and replicate it across the globe since there is a well-connected global high-speed payments infrastructure. In a nutshell, Klein noted that digital payment is on the right track as the Nordic countries are leading the way. It is clear that cooperation and healthy competition were the secrets for the success of digital payment systems in the Nordic countries. This means that regions that still lag need to intensify corporation to drive the digital payment systems, through the establishment of monetary unions, where necessary.


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Digital Funds Transfer
Revolutionizing Core Technology For The Artificial Intelligence Bank Of The Future

Revolutionizing Core Technology For The Artificial Intelligence Bank Of The Future

An artificial-intelligence (AI) bank leapfrogs the competition by organizing talent, technology, and ways of working around an AI-first vision for empowering customers with intelligent value propositions delivered through compelling journeys and experiences. Making this vision a reality requires capabilities in four areas: an engagement layer, decisioning layer, core technology layer, and platform operating model.
However, we shall be exploring the capabilities needed for the core technology and data infrastructure of the modern capability stack.
Deploying AI capabilities across the organization requires a scalable, resilient, and adaptable set of core-technology components. When implemented successfully, this foundational layer can enable a bank to accelerate technology innovations, improve the quality and reliability of operations, reduce operating costs, and strengthen customer engagement.


Across industries, many organizations have struggled to keep pace with the demand for digitization, especially as consumers accelerated their adoption of digital channels for daily transactions during the COVID-19 crisis. Even before that, however, the financial-services industry has historically had mixed success in technology. Institutions that were early adopters and innovators in technology have built up a complex landscape of technical assets over decades and accumulated significant technical debt. Some institutions have tackled this challenge; many are behind the curve. Meanwhile, alongside the incumbents, an extremely active fintech industry has been constantly innovating and raising the bar.
Financial institutions that have shifted from being intensive consumers of technology to making AI and analytics a core capability are finding it easier to shift into the real-time and consumer-centric ecosystem. As AI technologies play an increasingly central role in creating value for banks and their customers, financial-services organizations need to reinvent themselves as technology-forward institutions, so they can deliver customized products and highly personalized services at scale in near real time.
At many institutions, standard practices now include omnichannel engagement, the use of APIs to support increased real-time information exchange across systems, and the use of big data analytics to improve credit underwriting, evaluate product usage, and prioritize opportunities for deepening relationships. As financial-services organizations continue to mature, the increasing demands on the technology infrastructure to support more complex use cases involving analytics and real-time insights are pushing firms to reexamine their overall technology function. Once they have committed to modernizing the core technology and data infrastructure underpinning the engagement and decision-making layers of the capability stack, banks should organize their transformation around six crucial demands: technology strategy, superior experiences, scalable data and analytics platforms, scalable hybrid infrastructure, configurable product processors, and cybersecurity strategy.


Before embarking on a fundamental transformation of core technology and data infrastructure, financial-services organizations should craft a detailed strategy for building an AI-first value proposition. They should also develop a road map for the transformation, focusing on three dimensions of value creation: faster time to market with efficient governance and productivity tracking, clear alignment of demand and capacity to meet strategic and near-term priorities, and a well-defined mechanism to coordinate “change the bank” and “run the bank” initiatives according to their potential to generate value.
Faster time to market requires efficient and repeatable development and testing practices coupled with robust platforms and productivity-measurement tools. Aligning demand and capacity according to strategic priorities works on two levels. On one level, banks need to ensure that execution, infrastructure, and support capacity are optimized to ensure constant operation of all use cases and journeys. On the other, with constant uptime assured, work should be organized and scheduled to expedite projects having the greatest impact on value. Finally, financial institutions should establish clear mechanisms for setting priorities and ensuring that each use case is designed and built to generate a return exceeding capital investments and operating costs.


Building journeys that excite customers with their speed, intuitiveness, efficiency, and impact typically involves various applications spanning multiple bank and nonbank systems, all linked together by a series of APIs and integrations. This complex information exchange enables the organization to ingest valuable data from diverse sources to produce highly personalized messages and offers that speak directly to the customer in near real time. In addition to a standardized approach to managing APIs, banks should develop a clear mechanism to integrate across channels, core systems, and external interfaces while managing changes across multiple dependent systems. They should bear in mind, for example, that introducing a change in an existing digital channel could potentially entail changes not only across the front end but also across multiple interfacing systems, core product processors, and analytics layers.
A focus on journeys and user experience also benefits back-office and operations teams. New products are increasingly automated at the back end, freeing staff to focus on genuinely exceptional scenarios and differentiating activities, rather than repetitive low-value activities.
Finally, to ensure maximum value, use cases and capabilities should be designed as “enterprise products” to be reused in other areas. For example, the deployment of microservices handling discrete tasks like document collection and ID verification can ensure consistency in the way things are done across the organization. APIs should also be documented and catalogued for reuse. APIs that are domain- or product-centric (for example, enabling the retrieval of customer details from a single customer store) have higher reusability and take an enterprise-level view of the capability, as compared with a journey-centric API design—for example, one where an API supports retrieval of customer details for a specific mobile journey.


Delivering highly personalized offers in near real time requires AI-powered decision-making capabilities underpinned by robust data assets. What is more, the at-scale development of machine-learning (ML) models that are context aware in real time requires automated DevSecOps and machine-learning ops (MLOps) tools to enable secure and compliant continuous integration (CI) and continuous deployment (CD). This entails complex orchestration across source systems, data platforms, and data sciences to enable lab experimentation and factory production. This is particularly complex in a highly regulated environment where the involvement of security, audit, risk, and other functions is crucial in many stages of the process.
The incorporation of feedback loops with channel systems enables models to evaluate the output performance and make automated adjustments to increase the effectiveness of personalized messages, so the organization can generate personalized offers nearly instantaneously. For example, in the case of location-based offers for adjacent products, an organization must be able to overlay in real time customer location and preferences (as reflected in previous transactions) with predefined offers from nearby participating merchants.


With the continued expansion of customer engagement across bank and nonbank platforms, financial institutions need to create hyperscalable infrastructure to process high-volume transactions in milliseconds. This capability is made possible, in part, by infrastructure as code, automated server provisioning, and robust automated configuration management processes, which together solve the problem of “snowflake” configurations resulting from organic and complex linkages and changes that have accumulated over time.
Hosting these environments on a distributed-network cloud environment allows a balance between paid-up-front baseline storage and computing capacity, on the one hand, and, on the other, elastic on-demand surge capacity without disruptions to service. Self-monitoring and preventive maintenance also are automated, and disaster recovery and resiliency measures run in the background to ensure constant uptime even if incidents evade automated self-repair and require manual intervention. As a result, the risk of disruption to critical operations is minimized, and customer-facing applications run with high availability and responsiveness. The combination of on-premises and cloud-based infrastructure is increasingly relevant in high-volume and high-frequency areas such as payments processing, core banking platforms, and customer onboarding systems. Making workloads “cloud native” and portable allows the work to be moved to the most appropriate platform.


To sustain a leading-edge value proposition founded upon AI and ML capabilities, banks must continually evaluate their core products and identify opportunities for innovations and customizations. Combined with deep understanding of customer needs, enabled by advanced analytics, an organization can anticipate emerging customer requests and design distinctive products accordingly. The need for real-time reconciliation and round-the-clock transaction processing also emerges as a key competitive advantage for financial institutions. For example, with the advent of next-generation core banking platforms, organizations can now develop products that are built for scale and can be readily configured to meet specific customer expectations.


It is crucial to ensure that the organization maintains an appropriate cybersecurity posture across the entire technology infrastructure as protection against vulnerabilities within applications, operating systems, hardware, and networks. Financial institutions should also implement appropriate measures to secure the perimeter and control access to various systems and applications within the organization’s infrastructure footprint, including private and public cloud servers and on-premises data centers. For example, transferring workloads from traditional on-premises infrastructure to public cloud requires careful measures to protect customer data, along with a robust strategy for detecting and remediating potential threats and vulnerabilities.
The “classical” approaches of securing the perimeter should be coupled with more modern approaches to limit the impact of intrusions or reduce the “blast radius.” Again, AI has a part to play here, given the advent of increasingly sophisticated network intrusion detection, anomaly detection, and even forensics during postmortems of security incidents.

Next Generation Needs Financial Efficiency to Support Strategic Decision-Making

Next Generation Needs Financial Efficiency to Support Strategic Decision-Making

Achieving the next frontier in finance efficiency and effectiveness will likely require finance executives to shift their thinking from the priorities of the past. Formerly, there existed a trade-off between cost reduction and increased effectiveness of the finance function.  Therefore, in the quest to limit organisation’s operating cost so as to make profits, finance executives focused solely on cost reduction activities as against providing value for their stakeholders. This is a false choice and as such demands that finance leaders must begin to develop ways in which cost can be reduced without losing value. Also, attention must be drawn to the fact that the role of finance leaders’ guides strategic decision-making as well as the day to day running and functioning of an entire organisation hence it’s necessary that they deliver far more beyond core financial skills in the execution of their duties.

Leading finance departments are guardians of enterprise value creation, demonstrating stewardship of their own spend by lowering absolute costs and shifting work towards more value-added activities. Value-added activities that finance executives spend a greater portion of their time on to differentiate themselves from others and to move further than their core financial skills to build strong organisations include financial planning and analysis (FP&A), strategic planning, treasury, operational-risk management, and policy setting. This prioritization enables finance leaders to build deeper capabilities in value-additive areas, creating a positive feedback loop that could result in even greater advantages in the future.

For companies to excel and be counted among finance leaders Agrawal, et al, says four imperatives are especially critical for delivering value in the form of greater real-time insights, minimizing human error and biases, and driving speed in workflows and decision-making.

Delineating these Imperatives, first of all, finance leaders must learn to ‘look beyond transactional activities’ such as accounts payable, accounts receivable, and other core accounting areas. While most leading organizations have substantially increased efficiency in transactional functions, there is neglect for efficiency improvements in the more strategic areas of finance, such as FP&A, optimizing capital structures, tax planning, controllership, internal audit, and financial-risk management.

To pursue this imperative, Chief Finance Officers (CFOs) can Shift focus from low-end to high-end automation and align with the wider enterprise. The technical landscape has changed over the past few years with some leading companies applying machine learning and similar advanced technologies in their operations. Having an enterprise-wide strategy on which of the myriad technologies to employ not only allows more focused investments, it also encourages further collaboration between finance and other functions. However, the complexity of these technologies should not be underestimated. It is important that CFOs invest in piloting these technologies to identify the right use cases, and be prepared to change direction if initial experiments fail.

Another line of focus is to equip staff in critical roles with the necessary level of experience, leadership mind-sets, and authority to influence the business as well as make better use of staff time spent on value-added activities. Staff need continual capability building and skills development if they are to successfully perform their roles as advisors and counterweights to senior executives in steering the financial trajectory of the business. CFOs can set specific guidelines on where finance staff spend their time as such instead of performing reactive analyses of historical data to explain past performance, they should focus more on analyses for prescribing future courses of action.

With the growing size, complexity, and importance of data, the second imperative is to ‘help finance lead in data’ because the amount of data in the world is anticipated to reach 175 zettabytes (175 billion terabytes) by 2025. The exponential growth poses a significant challenge for finance teams as they seek to distill ever larger and more complex data sets into a single source of high-quality, trusted data that provides actionable information and insights to the rest of the organization.

Finance departments need a clearly defined master data-management strategy to guide the collection, storage, and interrogation of the rising volume of data needed to perform the types of analytics the business requires.

As part of the function’s responsibility to consolidate, simplify, and control company-wide data, finance leaders can achieve this imperative by prioritizing data quality and consistency, by setting high standards on data structure, entry, aggregation, storage, and protection across the company. By steering the development of data governance and data operating-model decisions, CFOs can reinforce change-management practices not only within the finance organization, but also in adjacent functions that produce much of the data finance consumes.  

Next is to Invest in an agile, better-quality, tech-enabled data and help lead data-standard alignment across departments. CFOs can advocate for a data system that is flexible enough to accommodate changing business needs as well as can cross-reference and validate data, which can reduce errors and the time needed to ensure data are correct when ingested. While finance cannot drive enterprise data efforts alone, it can promote collaboration among the leaders of the IT, digital, customer-facing, and operational functions—especially by developing robust business cases that articulate quantifiable returns on investment for the associated improvements in data quality.

The third imperative is to ‘improve decision-making’ by using advanced analytical techniques to solve pressing business problems. Beyond providing analytical insights, the finance department is also responsible for framing discussions on company performance and the actions needed to improve it. To be effective in achieving this imperative, finance leaders require clearer, faster and richer insights to be able to highlight shortfalls against expected outcomes, identify causes of gaps that occur, understand recent performance and make decisions based on more robust datasets from a wider variety of sources including both internal and external data sources. Consequently, CFOs will gain a broader perspective coupled with a more realistic view of likely performance outcomes and reduce the chance that unexpected shocks will render projections inaccurate to change its trajectory quickly and decisively.

Actions then can further help improve insight generation and the decisions it informs include training, particularly in analytical, data-visualization, as well as debiasing techniques and technologies. Also, companies can increase the quality and stature of senior finance business-partnering roles. The people in these positions need deep experience and perspective to drill into the causes of underperformance, and to push back against over-optimistic or unnecessarily conservative financial assumptions that may get baked into business plans. Matching true high performers to these critical roles is an essential component of translating analytic capabilities into realizable business outcomes.

To ‘reimagine the finance operating model with new capabilities’ is the fourth Imperative. This requires not only a different way of organizing how work gets done quickly and dynamically allowing staff to focus on the most pressing topics facing their organization, but also a different type of finance professional.

To reduce the effort involved in operational tasks, the new finance operating model starts from a leaner core, with tighter data standards, new data-management practices, enhanced automation, and integration with a wide range of related digital technologies.

Implementing this model involves a series of changes such as breaking traditional hierarchies into flat networks of teams to deliver deeper insights into business problems. Creating this capacity follows agile working principles and allows finance business partners to draw on a shared pool of analysts, who are assigned to specific work items based on well-defined and agreed-upon business priorities to provide financial analyses that gives insights into business challenges.

Developing finance skills to foster a core of business-savvy finance leaders with the stature to engage company leaders as peers as well as embedding digital skills across the finance organization; this demands supporting career progression, explicit capability-building, and strengthening job rotations, both within finance and between finance and the business, to build a cadre of skilled professionals who can move easily throughout the organization. Here, emphasis is laid on building operational, leadership, and technical finance capabilities.

Additionally, formal and informal incentives are necessary for skill development. Examples include tying incentives to knowledge and capability development, setting explicit targets for internal promotions to finance leadership positions, and explicitly recognizing the accomplishments of managers who foster skill development by coaching their teams.

In conclusion, advances in computing power, machine learning and artificial intelligence (AI), can increasingly be applied to complex tasks to monitor and resolve financial and business-continuity risks and pursue opportunities. For companies to attain the feat of a finance leader, things must be done differently. This requires reaching beyond the transactional activities that have long been the primary focus of attention and concentrating on a wider net for new efficiency opportunities. Another is to boost finance role in managing data and to strengthen decision-making through widespread adoption of data-visualization, advanced-analytics, and debiasing techniques.

Going further, the finance operating model must be reimagined so that it fosters new skills and capabilities. Investing finance-staff capacity to validate and clean data at the point of entry is far more efficient than addressing data-quality issues after they have occurred. In parallel, finance staff will likely need additional capabilities to understand the limitations of data and how to resolve them.

The four imperatives are already enabling companies to join the finance-function elite while cutting audit costs by double-digit percentages, improving data quality and reducing wasteful data-cleaning efforts, up-skilling finance teams, and enabling the function to guide better decisions throughout the enterprise. Through these steps, the next-generation finance function can build the insights, performance, and planning capabilities that leaders will need to support dynamic decision-making through the next decade.

Consummating ties with online retail banking for improved transactions in a new era

She walked in like a true princess on that sunny day, in her flowing white dress. With a tiara draped on her pristinely coiffed hair, her contoured and well-made face betrayed her nerves which bulked up in her smile. One can readily spot an admixture of excitement and anxiety over the unknown once she commits a forever to a better-half in the presence of loved ones. Right at the altar was her husband to be with his chiseled abs clearly defined in his buttoned double-breasted suit, sheepishly smiling and holding back some few sobs upon seeing his beautiful bride. At this point, cold feet anyone? Walking down the aisle to swear your forever commitment and dedication to a person is certainly the highest form of trust and a huge gamble as everyone goes down the aisle with half the story hidden regardless of the number of years playing ‘knowing me knowing you’.

The ‘nuptial vows’ in Banking

The wind of change blowing across the world transcends a pandemic reaction to an insurmountable challenge. Organizations are scaling the wall of mechanical and bland regurgitation of the status quo and embracing rather cautiously a new love. The not too rare occurrence means jilting conservative and traditional ways of attending to business and life. Hitherto, there was rarity in making such life changing decision as there wasn’t any inclination and external interest to topple the dominant theme of workplace ethics. Wedding bands of conformity have gone full circle, and guess what, the mundane is starting to strike a raw nerve quite often. Banks are expressly beginning to rethink interaction and distribution channels and are by every means maximizing the opportunities presented by the pandemic to implement a technological necessity.

 Mincing no words, the court battle rages on in the divorce settlement between traditional banking and online banking.  Most banking firms in Africa have been held hostage and practically trapped in a bubble of convenience and ‘utopia’ in this season of banking unrest, sinking them in a quagmire of stunted growth. This Stockholm syndrome characterizes firms who have an inexplicable affinity to a hurting and sinister subject. Regrettably, the soul ties of confusion, relative fear of the unknown and ‘what ifs and buts’ cloud the judgments of such banks attached to sentimentalities and cliché trinkets of loyalty. The banking industry has rapidly evolved in the past few decades. They have become global institutions, operating in multiple countries around the world—and, perhaps more importantly, online.

Physical distancing versus social distancing

Undoubtedly, the lockdown period was the recess the world needed in reassessing its protracted direction when it comes to new and improved ways of doing things. The culture of banking changed faces in a long blink of an eye which is painfully overdue. Currently, physical distancing has gained a new perspective with social distancing galvanizing a change in attitudes of customers who have strong inclination to not just convenience and cost effectiveness but time management. Bottom line is, the lines of physical and social distancing have been blurred out by the technological response of online transactions. A 2016 Global Consumer Banking Survey conducted gauged 55,000 consumers in 32 countries. 60% revealed they would want to visit a physical branch or speak with a real person in order to purchase a new financial product or ask for advice. Traditional banks, with their focus on in-person customer service, may prove more trustworthy than banks that lack brick-and-mortar operations. This is especially the case when the consumer is opening an account.

In order to stay competitive and ensure their customers are satisfied, most traditional banks have incorporated internet banking in their services. Online portals allow these customers to view their balances, transfer money, open new accounts, and even apply for a mortgage— all of which is available round the clock unlike physical branches. Essentially, most banks are losing footprints at various branches as customers have taken a strong liking to manage their money, have access to credit, and deposit their money in a secure manner and done remotely and electronically. Also, online customer service, including e-mail and chat and video call, are overtaking phone calls and visits to a bank branch. According to McKinsey’s Africa Consumer Sentiment Survey of May 8, 2020, “customers have reported a 30 to 40 percent increase in their usage of online banking, mobile banking and mobile payments in recent weeks. This is linked to the imperative of physical distancing. Going forward, once ‘normal life’ resumes, 30 to 40 percent of consumers expect to increase their use of digital channels, while 30 percent expect to reduce their branch visits.”

Indeed, there has been significant change in branch usage as a result of physical distancing. In March 2020, McKinsey posited that, “25 percent of branches globally were closed, and 15 percent remained shuttered by May. However, even before the crisis, branch contribution to core banking unit sales had fallen from 75 percent in 2015 to 55 percent in 2019 (although average sales value remains higher in the branch than other channels). During this same period, the number of branches declined by 18 percent, and branch staff by 16 percent. A closer analysis, however, reveals two distinct groups: banks that made bold reductions and banks that moved cautiously. A bold transformation of the branch network delivered four times higher productivity gains than incremental adjustments and produced a 23 percent leaner network”.


Watershed moment in online transaction

Digital banking is of utmost importance to modern consumers and the next face of retail banking and a general acceptance and incorporation into respective banks operations and activities will spare banks needless problems, debts and irreparable damage to their firms. Retail banking has largely transitioned from a crossroad where indecisiveness was a harbinger of shrewdness to a more intentional habit of satisfying a growing number of tech savvy customers. In the same survey conducted by McKinsey, 66% of consumers said a great digital presence was an important characteristic of their chosen bank. A majority of Europeans are proving it, with Eurostat data showing that 59% of European internet users bank online.

Candidly, traditional banking organizations are crumbling from the inside and coughing up the consequence of limited footprints in the banking hall, which are gradually transmuting into ghost towns. Mckinsey states, “to stay competitive and ensure their customers are satisfied, most traditional banks have incorporated internet banking in their services. Online portals allow customers to view their balances, transfer money, open new accounts, and even apply for a mortgage— all of which is available 24 hours a day, seven days a week, unlike physical branches. Online customer service, including e-mail and chat and video call, are overtaking phone calls and visits to a bank branch”.

Banks who look back at this point will be crystallized in a retro captured shot as mobile banking has risen as well, “with one report showing that 47% of global consumers did so in 2016. Banking apps are skyrocketing in usage as well, allowing consumers to make fast digital payments at stores, events, and online”.

The double sided coin of online comes at its price like most ingenuities. The surge of digital banking has also created a surge in cybercrimes, as online banking opens up a new avenue for criminals. “If a customer accesses his or her banking information over an unsecured network, anyone could listen in and access the log-in credentials or other information. E-mail phishing attempts may convince the less digitally savvy to click links that appear to originate from the bank itself. Banks offering online banking products can secure their own sites and apps, but they must also inform their customers how to use them safely”.

That notwithstanding, a new category of banks has emerged, banks that operate only online, also called direct banks or branchless banks. Direct banks offer all the functionality of a bank, but without any local branches. They often offer more attractive rates, but fewer financial products as well as the face-to-face customer service that global consumers still crave.


Extinction of fossil banks

Evolve or die. Evolution supports change with strong aversion to conservatism. Accessibility is a significant component in online banking, and so entrenched traditional banking will be lacking in online banking capabilities. Subsequently, customers will have reduced access to their own banking information outside of business hours; when traveling, they may not be able to find a branch or ATM without high fees.

 As digital financial services evolve, banks will face mounting competition from three main nonbanking competitors, (i) telcos that are expanding their activities into payments (via mobile finance and beyond); (ii) major global technology players, such as Alibaba and Tencent, which have already developed a strong activity in financial services outside Africa and who are now showing increasing interest in the continent; and (iii) digital attackers such as FinTechs, which have made inroads both in the consumer services and in corporate services spaces . This competition from non-banking players will be enabled by regulation and technology: for example, regulations issued in Morocco and Nigeria in 2018 are enabling payment-service providers, mostly telcos, to provide payment services”.

COVID-19 has accelerated the shift to digital in retail banking. McKinsey latest data suggests that, industry leaders are driving digital log-in growth at five times the rate of slow adopters.  “It also indicates that consumers intend to sustain their new digital behaviors and visit branches less often following the pandemic. Banks should reshape their distribution models to thrive in a post-COVID-19 world, as transformation becomes an immediate imperative, not a long-term option. Due to the pace of disruption, what was previously a gap between leaders and slow adopters may become the gap between average and poor performers”.

Banks that do not embrace mobile finance and integrate it seamlessly into their banking activity face the threat of losing market share to these nonbanking competitors. To adapt successfully to the long-term shift to digital, banks can accelerate their digital transformation by prioritizing milestones such as the coverage of 100 percent of simple sales and servicing with digital, and especially mobile, solutions—in other words, rapidly digitize the customer journey. Also, implement mature digital sales to match assisted channels to close the gap in performance with branches and call centers in terms of conversion rates, cross-selling, and ticket sizes. Similarly, banks must simplify the consumer and commercial product catalogue to broaden the scope of “simple” (to include, for example, no-frills investment and lending propositions) and make the digital channel easier to navigate. More than ever before, they need to raise the bar on cyber security and technological resilience, including having zero tolerance for outages of ATMs or mobile platforms.

Traditional banking certainly has its allure but it has outlived its purpose particularly when juxtaposed to online retail banking. The schadenfreude of the pandemic in seeing things fall apart can only be foiled when innovators take over from conformers. A resonating belief is that, banking and financial institution will realize the indispensable position they occupy in the world’s economy and develop a clear view on the target role and competitive differentiation of online channel, integrating customer preferences and economics and leveraging on technology to bolster retail banking.

The incidence of financial crime, fraud and cybercrime

The incidence of financial crime, fraud and cybercrime

In 2018, the World Economic Forum noted that fraud and financial crime was a trillion-dollar industry, reporting that private companies spent approximately $8.2 billion on anti-money laundering (AML) controls alone in 2017. The crimes, themselves, noticed and unnoticed, have become more numerous and costly than ever. In a widely cited estimate, for every dollar of fraud, institutions lose nearly three dollars, once associated costs are added to the fraud loss itself.

Hence, an intensification of the activities of cybercrime and malicious hacking. As a result, rules with regards to financial crime are being revisited, as authorities continuously revise the rules. Within the domain of financial crime, the governments have ratcheted up the use of economic sanctions, targeting countries, public and private entities, and even individuals in accounting for illegal trafficking and money laundering. Because it has become difficult for institutions to fight these financial crimes, leaders are transforming their operating models to obtain a holistic view of the evolving landscape of financial crime. This view becomes the starting point of efficient and effective management of fraud risk.

Risks faced by Banks

Some of the risks faced by banks include the following: vulnerabilities to fraud and financial crime inherent in automation, digitization, massive growth in transaction volumes and greater integration of financial systems within countries and internationally.

The evolution of fraud and financial crime

Fraud and financial crime adapt to developments in the domains they plunder. With the advent of digitization and automation of financial systems, these crimes have become more electronically sophisticated and impersonal. One series of crimes, the so-called Carbanak attacks beginning in 2013, well illustrates the cyber profile of much of present-day financial crime and fraud.

These were malware-based bank thefts totaling more than $1 billion. The attackers, an organized criminal gang, gained access to systems through phishing and then transferred fraudulently inflated balances to their accounts or programmed ATMs to dispense cash to waiting accomplices. These, however, became a syndicated attack on many banks since the attackers vividly understood the cyber and banking environment.

Channels for the activities of cybercrime

Several channels for the operation of financial crime, fraud and cybercrime include automated teller machines (ATMs), credit and debit cards, and wire transfers. The attacks revealed that meaningful distinctions among cyberattacks, fraud, and financial crime are disappearing.

A siloed approach to these interconnected risks is becoming increasingly untenable. As banks begin to align operations to the shifting profile of financial crime, they confront the deepening connections between cyber breaches and most types of financial crime. Banks counter such fraud with relatively straightforward, channel-specific, point-based controls.

Banks that offer a seamless, secure and speedy digital interface will see a positive impact on revenue, while those that do not will erode value and potentially lose business. Modern banking demands faster risk decisions so banks must strike the right balance between managing fraud and handling authorized transactions instantly. The growing cost of financial crime and fraud risk has overshot expectations.

Bringing together financial crime, fraud, and cyber operations

Anti-Money Laundering (AML), while mainly addressed as a regulatory issue, is seen as being on the next horizon for integration. All risks associated with financial crime involve three kinds of countermeasures: identifying and authenticating the customer, monitoring and detecting transaction and behavioral anomalies, and responding to mitigate risks and issues. Each of these activities, whether taken in response to fraud, cybersecurity breaches or attacks, or other financial crimes, is supported by many similar data and processes. Indeed, bringing these data sources together with analytics materially improves visibility while providing a much deeper insight to improve detection capability. In many instances, it also enables prevention efforts.

In taking a more holistic view of the underlying processes, banks can streamline business and technology architecture to support better customer experience, improved risk decision making, and greater cost efficiencies.

From collaboration to holistic unification

There are three models for addressing financial crimes. They are distinguished by the degree of integration they represent among processes and operations for the different types of crime. It has been shown, largely, that organizational and governance design are the main considerations for the development of an operational model. It is entirely feasible that an institution will begin with the collaborative model and gradually move toward greater integration, depending on the design decisions.

Firstly, the collaborative model. In this model, each of the domains of financial crime, fraud, and cybersecurity maintain their independent roles, responsibilities, and reporting. Each unit builds its independent framework, cooperating on risk taxonomy and data and analytics for transaction monitoring, fraud, and breaches. The approach is familiar to regulators but offers banks little of the transparency needed to develop a holistic view of financial crime risk. The model's reliance on smaller, discrete units also means banks will be less able to attract top leadership talent.

Secondly, a partially integrated model for cybersecurity and fraud. This model has been widely used. Many more institutions seem to be now working toward this model, in which cybersecurity and fraud are partially integrated as the second line of defense. Each unit maintains independence in this model but works from a consistent framework and taxonomy, following mutually accepted rules and responsibilities. The approach remains, however, consistent with the existing organizational structure and little disrupt current operations.

Finally, in this fully integrated approach, financial crimes, fraud, and cybersecurity operations are consolidated into a single framework, with common assets and systems used to manage risk across the enterprise. The unified model also captures the benefits of scale across key roles and thereby enhances the bank’s ability to attract and retain top talent. The disadvantages of this model are that it entails significant organizational change, making bank operations less familiar to regulators.

Strategic prevention: Threats, prediction, and controls

The idea behind strategic prevention is to predict risk rather than just react to it. To predict where threats will appear, banks need to redesign customer and internal operations and processes based on a continuous assessment of actual cases of fraud, financial crime, and cyber threats. To arrive at a realistic view of these transgressions, institutions need to think like criminals. Crime takes advantage of a system’s weak points. Current cybercrime and fraud defenses are focused on point controls or silos but are not based on an understanding of how criminals behave. For instance, if financial institutions tighten their defense on the protection of consumers, branch operations among others, crime will be evident in the domain of technology.

Adopting the mindset and behavior of the criminals

Banks will be able to trace the migratory flow of crime by looking at particular transgressions or types of crime from inception to execution and exfiltration and by mapping all the possibilities. By designing controls around this principle, banks are forced to bring together which improves both efficacy and effectiveness.

Ensuring the efficiency of scale and processes

The integrated fraud and cyber-risk functions can improve threat prediction and detection while eliminating duplication of effort and resources. Consistent methodologies and processes (including risk taxonomy and risk identification) can be directed toward building understanding and ownership of risks.

Data, automation, and analytics

Through integration, the anti-fraud potential of the bank’s data, automation, and analytics can be fully realized. integrating the data of separate functions, either both internally or externally, banks can enhance customer identification and verification. More appropriately, machine learning and artificial intelligence can enable predictive analytics when supported by the right source of information.

Ensure consumer experience and digital trust

Meaningful improvements in customer satisfaction help shape customer behavior and enhance business outcomes. Digital trust is fostered by unified risk management against fraud, financial crime, and cyber threats. When banks ensure topmost security to consumers, which has often been sidelined, trust is heightened for the bank.

How to proceed

There is the need for banks to inquire into questions relating to activities and processes, people and organization, data and technology, and governance when designing their journey toward a unified operating model for financial crime, fraud, and cybersecurity.

Most banks begin the journey by closely integrating their cybersecurity and fraud units. As they enhance information sharing and coordination across silos, greater risk effectiveness and efficiency becomes possible. To achieve the target state, they seek, banks are redefining organizational “lines and boxes” and, even more important, the roles, responsibilities, activities, and capabilities required across each line of defense.

Most have stopped short of fully unifying the risk functions relating to financial crimes, though a few have attained a deeper integration. A leading US bank set up a holistic “center of excellence” to enable end-to-end decision making across fraud and cybersecurity. From prevention to investigation and recovery, the bank can point to significant efficiency gains. A global universal bank has gone all the way, combining all operations related to financial crimes, including fraud and AML, into a single global utility. The bank has attained a more holistic view of customer risk and reduced operating costs by approximately $100 million.

As criminal transgressions in the financial-services sector become more sophisticated and breakthrough traditional risk boundaries, banks are watching their various risk functions become costlier and less effective. Leaders are therefore rethinking their approaches to take advantage of the synergies available in integration. Ultimately, fraud, cybersecurity, and AML can be consolidated under a holistic approach based on the same data and processes. Most of the benefits are available in the near term, however, through the integration of fraud and cyber operations.


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