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Riding the FinTech Wave: Analyzing the Different Areas


Riding the FinTech Wave: Analyzing the Different Areas

There’s been a lot of talk about FinTech lately. We talk about the billions of dollars being invested in FinTech; the wave of unicorns and start-ups in this space; the challenge they bring to banks and incumbents; the way in which they are reaching new spaces and places; but what is FinTech?

It is no longer this big bucket of finance and technology. In fact, saying ‘FinTech’ is like saying ‘retailer.’ But what exactly are they retailing and, in the FinTech sense, what areas of finance are these companies automating?

This gets interesting as we now have a market that is spreading its wings into lots of different areas. It is no longer one big bucket, but many. There is RegTech for Regulatory Technologies; WealthTech for Wealth Management Technologies; InsurTech for Insurance Technologies; and so on. Then FinTech has also gained subcategories like Lending, Analytics, Digital Identity, Cybersecurity, SME Finance, Financial Inclusion, Payments, Roboadvice, Blockchain Distributed Ledgers, Neobanking and more.

Then there are also some generic technologies around Cloud, the Internet of Things, Artificial Intelligence, Machine Learning, Biometrics and others that are also creating FinTech themes and impacts. Well, this blog will look at the range of services we are discussing here, and map them onto the Chris Skinner FinTech Wave (loosely based on Gartner’s Hype Cycle).


Regulatory Technologies, or RegTech for short, is fairly obvious as to what it is. Just in case it’s not obvious though, I would define it as technologies that help banks comply with regulatory requirements more easily and at a lower cost or that help regulators monitor bank activities more accurately in real-time.  I’m not going to do a big write up here, as I’ve blogged a lot about RegTech, so you can read the blogs on this:


Insurance Technologies, InsurTech, are rethinking and redefining how we deal with insurance through technology.  As with RegTech, I’ve blogged a bit about this, so you can read on over here:

If you can’t be bothered, then here’s a list of interesting InsurTech start-ups:

Augury makes sensors for heating, ventilation and air conditioning systems

BimaAfya is connecting low-income populations in sub-Saharan Africa with health insurance

Buzzmove provides price comparison for the removals trade; information that is important to insurers after a loss

Cocoon makes an internet-connected security device for the home

CoVi Analytics is a platform for insurers to use the required reporting from Solvency II data in their enterprise in other ways

Domotz is an Internet of Things management system that offers a platform for insurers to rate risk and manage claims

FitSense helps life and health insurers leverage data from wearables

Friendsurance, the world’s first peer-to-peer insurance firm

Kasko provides a white-label option for instant insurance purchases on affiliate platforms.

Lemonade is a US-based peer-to-peer insurance firm that offers  fast and low cost homeowners insurance, powered by technology, that mixes the Friendsurance and Trov models

MassUp uses APIs to connect insurers to retailers so people can quickly and easily add coverage to new purchases.

Myfuturenow helps connect dormant pension accounts to holders.

Quantifyle allows users to “shop around” their wearable and other health data to insurance companies and find the best price

Rightindem is a self-service total loss claims platform that claims to reduce insurers workload and leakage while improving customer service

Roost makes a smart battery for smoke detectors and counts USAA among its investors

Safer is designed to help millenials identify what kind of insurance they need by tapping into their social data

Trov where you pay-as-you-need insurance


I haven’t blogged about WealthTech much, because it’s just rising.  Although the term is used reasonably liberally towards the end of 2016 online, most of what I see being written about it is related to roboadvisory services. That’s not right as roboadvice is for the masses, not the High Net Worth or Ultra-Wealthy, with is what WealthTech relates to, not the mass affluent. That is why I’ve kept Roboadvice as a separate categorisation to WealthTech.

Susanne Chishti is working on a WealthTech book, and wrote recently over at Silicon Republic the following analysis:

Wealth and asset management firms have to review their internal processes and communication with clients and decide where tools provided by the fintech industry can be applied to enhance their proposition and operations. These can be client-facing tools (for example, providing more accessible information in digital formats), portfolio management tools that enhance performance, or tools providing the relationship manager with powerful solutions so that she can serve her clients more effectively …


The future success of asset and wealth management firms in our evolving digitised world will depend on their ability to leverage fintech innovations to achieve better performance at lower costs combined with better customer service.

It is safest not to underestimate the seismic shift fintech will have on the global asset management industry. This sector has the opportunity now to challenge its own structures, business and revenue models to reinvent itself, fight complacency and act now to accelerate the internal pace of innovation and collaboration with the fintech ecosystem.

Meanwhile, Susanne picks out 11 firms worth watching in the WealthTech space:

AlgoDynamix: an innovative risk analytics company that detects disruptive events in global financial markets and anticipates price movements, thus providing advance warning to asset managers to improve higher risk-adjusted returns.

Delio: an investment platform that better connects a financial institution’s high net-worth clients with private market opportunities.

DriveWealth: a FINRA-registered broker-dealer that provides low-cost global retail access to the US equities market.

InvestGlass: a robo-advisory model that offers an automated selling tool fully customisable for retail and private bankers. Its artificial intelligence-based solution helps professionals generate the right investment case for the right client at the right time, compliant with MiFID II.

Investivity: empowering wealth managers by capturing the essence of the best funds at a fraction of their costs and allowing them to personalise for their clients’ needs.

KYC3: developing solutions using machine learning, big data and blockchain in order to transform regulatory and reputational KYC risk management.

Prophis: a tool that identifies those emerging developments that are most likely to have an impact on the performance of a particular portfolio and communicates them in a novel and visual way.

Quantesys: software that identifies and interprets behavioural anomalies to enhance investors’ profit and reduce their portfolio volatility.

Tradency:  a pioneering financial technology provider, focusing on B2B product development of a full-stack digital investment and trading ecosystem.

Videodesk: a platform that reinvents how companies sell to and service their customers by enabling experts to have rich conversations around investment products with qualified prospects.

Walnut Algorithms: an advanced machine learning and applied mathematics for absolute return quantitative investment strategies.

Just to balance this with another view, there is an interesting take on WealthTech in Asia from FinTech News :

Mesitis is a financial technology company headquartered in Singapore focused on developing solutions for the private wealth market. The firm offers an account aggregation and reporting platform for high networth individuals and their wealth managers; a bionic investment advisor providing unconflicted, custom-built, ETF-only portfolios at a fraction of the cost; and an agency-only execution provider specializing in both global equity & fixed income markets.

8 Securities Limited is known for having launched Asia’s first zero commission mobile stock trading service. The app lets users trade 15,000 US, Hong Kong and China H shares and eexchange-tradedfunds for free. Users can hold their account in USD, HKD or RMB. There is no minimum balance or account fee.

Quantifeed provides a digital investment solution to financial institutions and their clients. The platform allows users to explore, customize, invest and manage portfolios of stocks, bonds, funds and other asset classes. It has been developed to allow for full integration with firms’ execution and back office systems.

MyHero is the company behind TradeHero, a popular free stock market simulation app, which draws real-world data from stock exchanges to create a global social investment network.

FinFabrik is a financial services technology company that focuses on investment-related services, ranging from active client trading to automated wealth management platforms.

Prive Financial provides a comprehensive set of wealth management, asset allocation, and product structuring tools. The platform integrates these three core functions by being able to automatically generate and execute securities across global markets on multiple asset classes.

Aidyia has developed a cutting edge artificial general intelligence (AGI) technology to identify patterns and predict price movements in global financial markets.  AGI is a branch of artificial intelligence aimed at learning mimicking the human brain’s breadth, depth and generality of understanding. Applied to financial markets, the result is financial prediction and trading systems with a human like ability to not only recognize mathematical patterns in market data, but to understand what these patterns mean in a broader context.

Call Levels provides a free app that delivers financial market data updates. Powered by the cloud and built with proprietary monitoring technology, the solution lets everyone access finance information on-the-go at the ease of their fingertips.

Eigencat is a fintech startup supported by the University of Singapore (NUS), which has built a modular digital investment platform for use in the wealth space.


Roboadvisors are for the mass affluent, and are providing an opportunity to bring together the micro and the macro level of money and engage the mass affluent with a real-time ledger and balance system.  I liked the quote from Jon Stein, Founder and CEO of Betterment, who stated that they were not competing with the wealth managers, hence why this is a separate section.  He believes their competition is advice versus no advice, and that it is not a battle between robots and humans but a battle between advice and nothing.

In the robo-advisory field, the USA has led the charge with the rise of  companies like Wealthfront, Betterment, FutureAdvisor and Personal Capital.  They offer wealth management and micro PFM in a killer app.  Their features are finely tuned and you can find many comparisons, but this one from Nerd Wallet gives you the low down.  These are not the only ones though, as we have folks like Nutmeg over here.


Peer-to-peer lending is something I’ve blogged about lots here .  It’s connecting people who have money with those who need money through software, and mitigating risk through real-time credit analytics.  Zopa was the first of these, but many followed including Prosper Marketplace, Lending Club, Lufax and more.  I strip out SME Financing from P2P Lending, primarily because it generated a huge new flow of capital to small businesses and start-ups that could not exist without FinTech.  However, if you want to know more generally about P2P Lending and related discussions, here are a few blog links worth looking at:

SME Finance

SME Finance is probably the most radical new market that is being changed with technology from peer-to-peer lending to invoice financing to crowdfunding.

Invoice financing often mixes the ideas of peer-to-peer lending with financial factoring and Marketinvoice, a UK firm, is a good example.  Marketinvoice launched in 2011 to provide a financial factoring service, which is where a small business can take their outstanding invoices and get them paid early. The firm providing the finance then collects the invoice payment from the client, and takes a commission for having paid the business early. So if I am owed $2,000 by a client who normally pays in 60 days, a factoring firm will offer me $1,800 today and they get $2,000 sixty days later for a $200 or 10% commission. That idea has been around for years, but put it on the internet and a firm like Marketinvoice can grow from lending nothing to lending over £1 billion in five years. This year alone, the firm expects to double that amount, and the difference is that the financing of all of those outstanding invoices is coming from investors. In other words, it is a form of peer-to-peer lending, like the bigger names such as Funding Circle, another SME financing FinTech start-up. Funding Circle provides SME loans, is seven years old and has already funded over £2 billion in loans.

Then there is the new models of crowdfunding. Crowdfunding allows start-up firms to get funding on day one from their potential customers.   It used to be that a start-up had to go to a bank to get money to get going.  It also had to spend a considerable part of that money on marketing to reach their target audience via media. Sites like Kickstarter, Indiegogo, Crowdcube and Seedrs collapse that start-up structure into one process, where your market and your customers provide you with the funds directly to get going.


This overcomes the issue for banks, who would not fund start-up SMEs because they have no data to analyse to assess the risk of whether funding that SME would result in a return. Where is the market? Will they buy?  Crowdfunding businesses turns that risk on its head, as the amount of funding in a crowdfunded business is directly reflected by the demand from the marketplace and customer.  In other words, the unknown data the bank is looking for – what is the demand for this product – is determined upfront, before the business gets started, by the potential customer demand. Perfect … except for the Chinese entrepreneurs who steal innovator’s ideas from such sties before they get started.

Nevertheless, the crowdfunders are offering a brand new model of financing that overcomes the issue of lack of data.

Financial Inclusion

Finally, how could we talk about FinTech categories without talking specifically about financial inclusion? This is one of the most exciting areas of FinTech because it brings 4.5 billion people who weren’t worth serving before, because it was too expensive, onto the network.   In particular, the financial inclusion programmes in Africa are key, as these are rethinking how money is exchanged through the mobile network.  Again, I’ve blogged about this tooooo much, so here’s a quick link to some of the best blogs:

As mentioned above, we talk a lot about FinTech. We talk about it as though it is one thing when, in fact, it is many.  There are nuances to this market that is over a decade old today, that need to be fleshed out in more detail as, just as with technology in general, some of this FinTech is in the hype cycle, some is in the chasm, and some is coming into the mainstream as accepted.

I call this the  Chris Skinner FinTech Wave (loosely based on Gartner’s Hype Cycle), which I did not share in the first entry but, now you know where I’m going, here it is:

As you can see, some technologies are rising, some falling and some are now widely adopted such as lending marketplaces.  In this second part, I thought it worth discussing the remaining areas that are primarily generic technologies with a financial flavour such as AI, machine learning, IoT and biometrics.  I don’t intend to define the whole market for each of these, but purely to place a dialogue around where they fit in the FinTech scene at a high level.

Blockchain Distributed Ledgers

This is an area that needed definition, and is quite contentious because, in financial markets, blockchain became so over-hyped and misunderstood that it hit a wall.  In my view, this technology is now firmly over the hype wave and crashing towards the trough of disillusionment.  The main reason for this is a lot of investment in experiments, not realising they are experiments.  Gartner summed it up well in a list of the Top 10 mistakes companies are making when considering enterprise blockchain projects:

  • Misunderstanding or ignoring the purpose of blockchain technology
  • Assuming that current technology is ready for production use
  • Confusing future blockchain technology with the present-day generation
  • Confusing a limited, foundation-level protocol with a complete business solution
  • Viewing blockchain technology purely as a database or storage mechanism
  • Assuming interoperability among platforms that don’t exist yet
  • Assuming that today’s leading platforms will still be dominant (or even extant) tomorrow
  • Assuming that smart contract technology is a solved problem
  • Ignoring funding and governance issues for a peer-to-peer distributed network
  • Failure to incorporate a learning process

This means that many banks are now wondering where the returns are in their blockchain investments and reeling back on those investments.  The key here is the blockchain, when it really is used well, will be as transformational as the internet.  However, the use of blockchain shared ledgers is more to do with agreeing new infrastructure operating models, such as how we replace core networks like SWIFT, Visa and the DTCC, than the technology itself.  Nevertheless, for those who want to know more, I would refer you to  the in-depth analysis I made last year of blockchain use cases and operations:

Digital Identity

Digital identity is another big area of debate, because it requires an agreed structure before the technology can be deployed.  Who runs a digital identity scheme?  How is it operated?   If self-sovereign, as many are arguing it should be, what happens when access is blocked and needs to be unblocked, such as when you have an accident and the medical care team need access to your health details?  These questions will be solved over time, and the two entries above:

Analytics, Artificial Intelligence and Machine Learning

We have talked at length about data being the new oil or gold, and data being the differentiation between winning banks and those that lose. The internet giants make their money out of data analysis and usage.  That is their business, and financial institutions have the same opportunities with data, fi they use it well.  This is why many financial firms are investing in machine learning, artificial intelligence and data analytics, as it allows them to improve their credit risk modelling, cross-sell ratios and enhance the user experience.  It is all about deep learning from customer’s data to personalise and improve their relationship digitally with the institution.

Again, there’s a great deal written about this area, and I can recommend the following links:


There are lots of scary numbers about cybersecurity, because no one wants to be hacked.  That’s why IDC estimate that $101.6 billion will be spent on cybersecurity software, services, and hardware by 2020, up from $73.7 billion in 2016, or a 38 percent increase.  Banks and financial firms are particularly exposed, as thieves try to attack banks first because that’s where the money is.  Hence, financial institutions are particularly focused upon internal and customer security, and any scheme that assists in tightening this area is worthy of consideration.  However, in my own experience in talking with hackers, and I’ve talked to many, is that it is the employee of the bank that is the area of least security.  This is because every hacker talks about social engineering as their key skill.  They play on the natural trust of people in other people.  That is the vulnerability: we naturally like to trust other people.  Just read more about how thieves hack to discover what the thieves do and, nine times out of ten, it is tricking an employee into becoming part of their plan by using their trust to compromise them.



Talking of security, biometrics has finally reached prime time.  That’s in part due to the smartphone camera, which offers a great opportunity to capture a facial recognition or iris scan.  Equally, a touch screen has given us the chance to use fingerprints and palms.  Adding this to a PIN or OTP (One Time Password), gives a great chance to tighten security for the consumer and overcome the issues of forgotten passwords.


The payments area of FinTech is actually an area we could talk about in its own right, as it also has grains of granularity from mobile wallets (Venmo, Alipay, Paytm, etc) to mobile payments (Square, iZettle, Sumup, etc) to online checkout (Stripe, Klarna, Adyent, etc) to digital currencies (bitcoin, ether, zCash, etc) to payments infrastructure (DAH, Setl, Ripple, etc).   Therefore, I’ll probably park this one here as a major bucket of change, and follow up another day with a more in-depth analysis.  Meantime, if you want to know more, you can read in-depth over here.


Neobanking are the new bank start-ups we see around the world and they differ considerably around the world.  For example, the neobanks that have sprung out of China – YesBank and WeBank – are very different to those we see in Europe and America, because they can be.  They have sprung out of other services – commerce and chat – and therefore have a different ethos and look to banks like Soon in France, from AXA Group.  Equally, there is a hive of activity across Europe with new bank start-ups from Bunq in the Netherlands to Che! Banca in Italy to LunarWay in Denmark and N26 in Germany.   The UK probably leads the market for neobanks however, as there are around 40 new bank start-ups offering full bank services to bank app front ends.  These include:

  • Atom
  • Bank to the Future
  • Civilised
  • Fidor
  • Ffrees
  • Hampden & Co
  • ipagoo
  • Lintel
  • Loot
  • Metro
  • Monese
  • Monzo, formerly Mondo
  • Neat
  • Numbrs
  • OakNorth
  • One Savings
  • Shawbrook
  • Starling
  • Taqanu
  • Tandem
  • Tide
  • TSB
  • William & Glyn
  • Zopa

As mentioned, the banks fall into two categories: full banking services with a bank licence (like Atom and Starling) to bank app front ends like Loot.  The latter neobanks is also what we see in the USA right now, such as Simple and Moven, because the USA lags the world of full serviced neobanks primarily because bank start-ups cannot get full bank licences in America.  The OCC may change that, as mentioned in a previous blog, but it remains to be seen.

Platforms, Markets and Cloud

Finally, the biggest area of change in banking is the creation of new financial marketplaces. Marketplaces are where apps, APIs and analytics are deployed for many different firms to play with them. A good example is Uber, Airbnb and Facebook, where the marketplaces are their platforms and people can then use their apps and APIs to connect and play.  This is why we refer to Uber as the biggest taxi firm that owns no cars; Airbnb the biggest hotel network that owns no rooms; and Facebook as the biggest media firm that creates no content.

A range of new FinTech start-ups are trying to get into this space from CBW in the USA, who partners with Moven and Simple, to WireCard in Germany who power Holvi, Loot and other neobanks.  These are now being copied and competed against by firms like Solaris and Fidor in Germany; Thought Machine and ClearBank in Britain; Leveris from Ireland; and more.  The biggest of these challenger markets is currently in China, where Ant Financial offer apps, APIs and analytics that are being used by more than 40 Chinese banks.

If you are interested in this area, I can recommend the following articles for more depth:

Internet of Things (IoT)

The world has talked about IoT for a while, and we are seeing some flavours of this coming through in particular markets like insurance, where you insure-as-you-use. This means that you can leave the house and just insure your bike and camera for 8 hours that day, rather than take out an annual policy, and the insurance firm will know where your bike and camera are going to be for the next 8 hours because they have intelligence inside, as in they are connected to the network.  The IoT details relate more to the internet of value, the ValueWeb, which I’ve written a whole book about so … if you want to know more, go buy the book.

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