The Swiss Finance + Technology Association covers a range of FinTech verticals with high relevance for Switzerland. 

Introducing SFTA Slack:

All members and subscribers receive an invitation to our SFTA slack channel and those who applied as an expert will be assigned to dedicated channels around the relevant verticals. Expert verticals are designed to generate content and trigger discussions around certain topics through our slack channels. Throughout the year, we are going to organize panel discussions around some of our expert verticals to ensure that we discuss the most important themes around these topics. Expert verticals give our members the opportunity to actively contribute to these discussions, shape the content of our expert panel events or even step up on stage and represent their area of expertise.

  • WealthTech

    Challenging the status quo in the wealth management industry is the main focus in Switzerland’s FinTech landscape, but this vertical also covers much of banking, including retail and commercial sectors.

  • InsureTech

    The younger sibling of mainstream FinTech, this is an important vertical which goes beyond financial services solutions into a broad range of technological innovations, reshaping the industry, such as IoT and cyber security.

  • Payments

    One of the oldest and most well established areas of FinTech everyone, but also in Switzerland, is that which relates to payments processing, billing, P2P solutions, and other related areas. This can include a range of blockchain companies offering payment services.

  • Data

    While this can be a broad category, SFTA uses it to apply to both companies providing the essential financial market data used by so many others in financial services, as well as to data management, analytics, and artificial intelligence.

  • Infrastructure

    Infrastructure entails a range of tools and services necessary to drive trading, administration and collaboration between various entities of financial services. Focus of this vertical will include Distributed Ledger Technology, which has been substantially shaping how assets are exchanged, cleared and settled between various entities. In addition, will also focus on cloud and quantum computing or trading algorithms, leveraging machine learning and artificial intelligence.

  • PropTech

    On a focused basis, SFTA engages in PropTech, which is the name given to technological innovations related to real estate and property management. There can be much overlap with finance, portfolio and risk management, and other similar areas.

  • Lending

    FinTech companies are changing the lending business. Consumers do not need to turn to banks to borrow money anymore, because FinTech companies are now making loans directly to consumers or providing platforms for peer to peer lending. Consumers can request loans online and get approval quickly and lenders are able to assess their creditworthiness more effectively using new approaches.

  • Sustainable FinTech

    Emerging financial technologies promise to redefine the finance industry, but could they also provide a solution for environmental and social problems? The new technologies are not only a way to promote sustainable and impact finance, but become interesting in the support of scaling up solutions. Investors interested in socially responsible portfolios or sustainable finance investments can be empowered by the increase in data and the emergence of new tools. What are the results from other positive trends, such as a general disintermediation and increased possibility for transparency?

  • RegTech

    RegTech refers to technology and innovations in the regulatory and compliance space. This is a new field within the financial services industry and often leverages data management and other new technologies which can enhance the regulatory and compliance processes in financial services. It puts a particular emphasis on regulatory monitoring, reporting and compliance and is thus benefiting the finance industry.

  • Artificial intelligence and Machine Learning

    Technology that enables computers to autonomously learn, deduce and act. Systems with artificial intelligence and machine learning collect and store massive amounts of data and make decisions based on probability and statistical analysis. Applications of AI and machine learning include speech recognition, computer vision, robotic control and accelerating processes in the empirical sciences.

  • Augmented & Virtual Reality

    Enhancing user experiences for customers and employees through AR or VR

    Augmented Reality (AR) is a technology which overlays superimposed computer-generated images over a users’ view of the real-world, thus altering and/or enhancing one’s current perception of reality. Companies in this space are involved with hardware and software development, content creation, and distribution related to AR products. This includes headsets, eye tracking technology, smart glasses, video games, mobile applications, training programs, advertising, and commercial and retail applications that utilize AR technology.

    Software and hardware that immerse users in a three-dimensional, virtual world. Virtual worlds are created using wearable devices, such as head-mounted stereoptical displays or gloves with embedded sensors. Virtual reality also includes environments where users can interact with each other through computer-generated avatars.

  • Big data

    Products or services that handle datasets too large for traditional databases.

  • Cybersecurity

    Information technology solutions specifically oriented toward user and network security.

  • Internet of Things (IoT)

    Physical objects with embedded sensors and software that uses data from these sensors to improve user experience or share information with a network of other devices.

  • Cloud

    The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.

  • Application Programming Interface (API)

    A set of subroutine definitions, communication protocols, and tools for building software. In general terms, it is a set of clearly defined methods of communication among various components.

  • Blockchain

    Blockchain refers to a distributed public database which keeps a permanent and incorruptible record of digital transactions. Blockchains are unique in that they cannot be controlled by a single entity and have no single point of failure. Furthermore, blockchains can be programmed to store more than just financial information. This space includes companies involved in developing blockchain applications related to smart contracts, crowd funding, supply chain auditing, cryptocurrency, identity management, intellectual property, and file storage.

  • Quantum Computing

    The use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. A quantum computer is used to perform such computation, which can be implemented theoretically or physically.

  • Robotic Process Automation (RPA)

    Robotic process automation (or RPA) is an emerging form of business process automation technology based on the notion of software robots or artificial intelligence (AI) workers.