Skip to main content

Fintech is dead, long live Fintech


The word Fintech (short for "Financial Technology") was first recorded in the 1980’s in the Sunday Times. However it was only until the financial crisis of 2007-2008, that the usage of the term became more widespread. The resulting lack of trust in the traditional financial system inspired many tech-entrepreneurs to create new start-ups (often strongly VC backed) to compete with the financial industry, which was considered before the crisis as an impregnable fortress impossible to disrupt.
As the below Google Search graph depicts, it was however only about 5 years ago, that the term really became mainstream. As always, the more "buzzy" the term became, the more difficult it became to give a unique, commonly accepted definition for it.


Initially the term was used for tech-players competing directly with the incumbent banks, by offering banking services directly to end-customers (B2C or B2B), strongly backed by technology (such as AI, blockchain, big data…​). These Fintechs aims to combine the stable, trust-worthy character of finance, with the fast, agile, experimental nature of the technology industry and combine the best of both.
Typical examples are P2P Lending (Prosper, SoFi, Lending Club, Funding Circle…​), Crowdfunding (KickStarter, CircleUp, Crowdfunder, Indiegogo…​), PFM tools (Mint, Betterment, Personal Capital, Digit…​) and P2P payment disruptors (e.g. Venmo, Square, TransferWise…​), but soon the term became adopted also in many other contexts.
Often this was also caused by new evolutions, like

  • Successful, pure (according to the first definition of the term) Fintech-players exploring new businesses and starting to partner with banks

  • Fintech players struggling to win customers (customer acquisition - cfr. my blog https://bankloch.blogspot.com/2020/06/customer-acquisition-cost-probably-most.html), being forced to partner with banks rather than compete with them

  • Incumbent banks starting to experiment with new approaches and technologies, often in Innovation Labs, resulting in Fintech niche-products sold by the bank or spin-offs created by the bank

  • Big banks slowly catching up. Some banks have already transformed themselves into strong tech-players (e.g. BBVA, DBS, Santander, KBC…​) allowing them to provide products and services using similar technologies and providing similar customer-centricity and user experiences as Fintech players.

  • Incumbent players from other industries (like telco-players and big-tech players) also expanding to the financial services industry, e.g. Orange successfully building Orange Bank in France, Apple providing Apple Pay and launching its credit card in August 2019, Google announcing in November 2019 its intend to offer as of 2020 checking accounts in the U.S, Alibaba creating Ant Financial (formerly Alipay), Amazon offering small business loans since 2011 and offering a credit card since 2019, and Facebook announcing the Libra cryptocurrency and providing in-app payments in WhatsApp (through Facebook Pay)

  • Traditional financial software players (like Temenos, FIS, Fiserv, Finastra…​) exploring new pricing and business models, like SaaS or even BaaS (Banking as a Service)

  • Tech start-ups, so called neobanks, becoming banks themselves (and losing some of their agility), thus gradually blurring the line between banks and Fintech

As a result, the word Fintech now encompasses:

  • The traditional Fintech players (above described), directly offering banking services to end-customers

  • New tech players which try to partner with banks to offer their services via their distribution channels (e.g. Tink, Mambu, Fidor…​)

  • New tech players integrating other industries with the financial services industry (e.g. Stripe, Plaid…​)

  • Existing financial software players (e.g. FIS, Temenos, Infosys…​), which have positioned themselves as Fintech players

  • The incumbent banks, or at least the most innovative services offered by those banks, can be positioned as Fintech. Banks imitate, emulate and integrate FinTech business models, products and services.

  • The neobanks (N26, Bunq, Revolut, Atom Bank, Monzo, WeBank…​)

  • Players with indirect links to the financial services industry, e.g. software for accountants, auditors, notaries, real estate…​, which often requires connectivity with banks to retrieve balance and transactional information and to initiate payments, often also position themselves as Fintech players

In short every player (somewhat) present in the financial services sector calls itself today a Fintech player. Due to the inflation of the term, new words have been created to narrow again the definition, like Insurtech, Wealthtech, Regtech, Paytech…​, but those have become overblown as well.

Instead of trying to redefine these terms, it is probably easier to realize that the digitalization and adoption of new technologies has impacted the full financial services industry, meaning there is no line anymore between banks, Fintechs and traditional banking software vendors.
This realization will help us to put everything again into perspective, i.e.

  • Although Fintechs have definitely woken up the industry, their direct impact (i.e. adoption rate of their services and technologies) on end-customers is not that great (yet), apart maybe of a few big ones, like TransferWise, Monzo, Coinbase, Robinhood…​

  • Very few Fintechs providing services to end-customers are already profitable (e.g. Atom, Monzo and Revolut are still making loss), meaning that without continuous infuse of money from VCs, a lot of them will not survive. A consolidation movement, resulting from M&A’s between Fintechs or by banks and other financial players, will therefore likely follow in the coming years (as money will dry up eventually). 2019 was already a top year in M&A in Fintech (e.g. FIS acquiring Worldpay, Fiserv and First Data merging, Global Payments and TSYS merging, Intuit acquiring Credit Karma, VISA acquiring Plaid, Paypal acquiring iZettle…​), but this will likely even more speed up in the coming years.

  • The IT budget of JPMorgan Chase, Bank of America and Citigroup combined is about fifty percent more than the total amount invested in all European FinTech start-ups in 2018 (and 2018 was a record year for Fintech investments)

  • Most Fintechs are only a few years old and are therefore only used to doing business in a time of economic growth. With the recession caused by the Covid-19 crisis, many of them will wake up.

  • The number of new Fintechs being founded is already decreasing, i.e. from 390 in 2015 to only 71 in 2018 (source Disruption House)

  • After the recent troublesome IPOs (or attempts for IPO) of Lyft, Uber and WeWork, the significant drops in prices and difficulties to fill funding in recent Fintech funding rounds (e.g. Lemonade and Monzo raising new capital at drops of 30-40% and Monzo not being able to raise the expected amount) and the burst of the blockchain bubble (mainly the ICO market), there is a trend in the tech-market, that VCs rethink the strategy of "growth at all costs" and go back to the basic financial KPIs like profit, gross profit per item sold, burn rate, customer acquisition cost (CAC) and customer lifetime value (CLTV). This evolution will have an impact on the ease for Fintechs to get new funding for their business.

  • The switch to neo-banks is still limited. Neobanks are definitely growing, but the innovative incumbent banks are seeing larger growths (at least in absolute numbers). With many big, incumbent banks starting to catch up, growth will become more complex in coming years.
    This trend was enforced by the Covid crisis, which resulted in record-breaking amounts of cash flowing into the big banks (more than two-third of generated cash was deposited in the top 25 biggest banks).

  • Although big banks still carry the burden of their legacy (often COBOL mainframe) systems (N26 claims its costs are one-sixth of the incumbent banks because of its tech-efficiency and full digital strategy), banks are deploying different strategies to reduce this negative impact, e.g.

    • Core-banking transformations to large established core banking platforms like T24, Midas, Finacle, Sopra Banking Platform…​

    • Gradual replacement of the large legacy, monoliths by a micro-services based architecture (most likely deployed in the cloud)

    • Putting layers on top (so called systems of intelligence) of the legacy applications (like e.g. a BPMS), in which all new innovations can be developed and impacts on legacy systems can be significantly reduced (i.e. aggregate logic away from the systems of record). Once the legacy applications expose all required APIs, the legacy applications can be isolated and considered more and more as external, black box systems, which provide well the defined data and services.

    • Implementing Banking-as-a-Service (BaaS): a number of Fintech players are providing BaaS services, allowing banks to outsource a large part of their cumbersome legacy back-end systems. E.g. Mambu (powering Oak North bank, New10 and N26), Solaris Bank (powering Modifi and CrossLend), Plaid (enabling Prosper, SoloFunds and Gusto), Fidor Solutions (powering Fidor Bank and O2 Telefonica)…​

With the above in mind, it is important to further improve the relationship between all parties, calling themselves Fintech players, including the incumbent banks. The us-versus-them thinking should come to a hault, as such thinking can never lead to constructive partnerships and successful future M&As. Especially as this divide has become somewhat artificial, now that all players are adopting the same techniques, methodologies and business models. The image of all incumbent banks being slow and resistant to change and Fintechs being disruptive and agile, has become caricatural and stereotypical.
Nonetheless when I look at the active users on Fintech-oriented platforms like Finextra or FinancialIT or to the participant lists of the typical Fintech conferences, the lack of employers from large banks (with the exception of a few) is striking. As a result big banks are still missing out on insights in the new evolutions, while Fintech representatives are preaching to the choir.
Instead it would be better to create again 1 financial services ecosystem, where there is true collaboration between the banks and the tech vendors and where Fintech start-up competitions and Fintech labs (incubators, accelerators…​) organized by large banks, are not just a marketing tool, but become a fundamental part of the bank’s organization (meaning a much stronger integration between the innovation and the traditional IT teams).

In such partnerships everybody can profit. Fintechs can get fast access to a large customer base, a strong and well-known brand, cheap funding and extensive knowledge and experience on risk management, regulation and other vital domains, while banks can profit of a continuous inflow of new ideas, services and products, which they can try out (i.e. check their market-fit) in a cheap and controlled way. Let’s hope that soon we can talk again of one Financial Services industry.

Comments

  1. This comment has been removed by the author.

    ReplyDelete
  2. Wat een intrigerende titel! "Fintech is dead, long live Fintech" roept meteen vragen op en prikkelt de nieuwsgierigheid. Tegelijkertijd ben ik gefascineerd door het idee van het vinden van nieuwe wegen binnen de Fintech-wereld.

    Aan de zijlijn van deze discussie wil ik graag het belang van een sterke online aanwezigheid benadrukken. In een tijdperk waarin technologie en financiën hand in hand gaan, is het cruciaal om op te vallen met een professionele website. Goedkope website laten maken Daarom raad ik ten zeerste aan om te investeren in een goedkope website laten maken, waarmee jullie je visie en innovaties effectief kunnen communiceren naar een breder publiek.

    ReplyDelete

Post a Comment

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excellent example of this

Are product silos in a bank inevitable?

Silo thinking   is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations. Customers want solutions to their problems   and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos. It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a number of cons

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval and searching

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the center of the connected devi

PSD3: The Next Phase in Europe’s Payment Services Regulation

With the successful rollout of PSD2, the European Union (EU) continues to advance innovation in the payments domain through the anticipated introduction of the   Payment Services Directive 3 (PSD3) . On June 28, 2023, the European Commission published a draft proposal for PSD3 and the   Payment Services Regulation (PSR) . The finalized versions of this directive and associated regulation are expected to be available by late 2024, although some predictions suggest a more likely timeline of Q2 or Q3 2025. Given that member states are typically granted an 18-month transition period, PSD3 is expected to come into effect sometime in 2026. Notably, the Commission has introduced a regulation (PSR) alongside the PSD3 directive, ensuring more harmonization across member states as regulations are immediately effective and do not require national implementation, unlike directives. PSD3 shares the same objectives as PSD2, i.e.   increasing competition in the payments landscape and enhancing consum

Trade-offs Are Inevitable in Software Delivery - Remember the CAP Theorem

In the world of financial services, the integrity of data systems is fundamentally reliant on   non-functional requirements (NFRs)   such as reliability and security. Despite their importance, NFRs often receive secondary consideration during project scoping, typically being reduced to a generic checklist aimed more at compliance than at genuine functionality. Regrettably, these initial NFRs are seldom met after delivery, which does not usually prevent deployment to production due to the vague and unrealistic nature of the original specifications. This common scenario results in significant end-user frustration as the system does not perform as expected, often being less stable or slower than anticipated. This situation underscores the need for   better education on how to articulate and define NFRs , i.e. demanding only what is truly necessary and feasible within the given budget. Early and transparent discussions can lead to system architecture being tailored more closely to realisti

Low- and No-code platforms - Will IT developers soon be out of a job?

“ The future of coding is no coding at all ” - Chris Wanstrath (CEO at GitHub). Mid May I posted a blog on RPA (Robotic Process Automation -   https://bankloch.blogspot.com/2020/05/rpa-miracle-solution-for-incumbent.html ) on how this technology, promises the world to companies. A very similar story is found with low- and no-code platforms, which also promise that business people, with limited to no knowledge of IT, can create complex business applications. These   platforms originate , just as RPA tools,   from the growing demand for IT developments , while IT cannot keep up with the available capacity. As a result, an enormous gap between IT teams and business demands is created, which is often filled by shadow-IT departments, which extend the IT workforce and create business tools in Excel, Access, WordPress…​ Unfortunately these tools built in shadow-IT departments arrive very soon at their limits, as they don’t support the required non-functional requirements (like high availabili

An overview of 1-year blogging

Last week I published my   60th post   on my blog called   Bankloch   (a reference to "Banking" and my family name). The past year, I have published a blog on a weekly basis, providing my humble personal vision on the topics of Fintech, IT software delivery and mobility. This blogging has mainly been a   personal enrichment , as it forced me to dive deep into a number of different topics, not only in researching for content, but also in trying to identify trends, innovations and patterns into these topics. Furthermore it allowed me to have several very interesting conversations and discussions with passionate colleagues in the financial industry and to get more insights into the wonderful world of blogging and more general of digital marketing, exploring subjects and tools like: Search Engine Optimization (SEO) LinkedIn post optimization Google Search Console Google AdWorks Google Blogger Thinker360 Finextra …​ Clearly it is   not easy to get the necessary attention . With th

Deals as a competitive differentiator in the financial sector

In my blog " Customer acquisition cost: probably the most valuable metric for Fintechs " ( https://bankloch.blogspot.com/2020/06/customer-acquisition-cost-probably-most.html ) I described how a customer acquisition strategy can make or break a Fintech. In the traditional Retail sector, focused on selling different types of products for personal usage to end-customers,   customer acquisition  is just as important. No wonder that the advertisement sector is a multi-billion dollar industry. However in recent years due to the digitalization and consequently the rise of   Digital Marketing , customer acquisition has become much more focused on   delivering the right message via the right channel to the right person on the right time . Big tech players like Google and Facebook are specialized in this kind of targeted marketing, which is a key factor for their success and multi-billion valuations. Their exponential growth in marketing revenues seems however coming to a halt, as digi

AI in Financial Services - A buzzword that is here to stay!

In a few of my most recent blogs I tried to   demystify some of the buzzwords   (like blockchain, Low- and No-Code platforms, RPA…​), which are commonly used in the financial services industry. These buzzwords often entail interesting innovations, but contrary to their promise, they are not silver bullets solving any problem. Another such buzzword is   AI   (or also referred to as Machine Learning, Deep Learning, Enforced Learning…​ - the difference between those terms put aside). Again this term is also seriously hyped, creating unrealistic expectations, but contrary to many other buzzwords, this is something I truly believe will have a much larger impact on the financial services industry than many other buzzwords. This opinion is backed by a study of McKinsey and PWC indicating that 72% of company leaders consider that AI will be the most competitive advantage of the future and that this technology will be the most disruptive force in the decades to come. Deep Learning (= DL) is a s