Fintech accelerator

Our fintech accelerator works in partnership with new technology firms to help us investigate how fintech innovations could be useful in central banking.

Our fintech accelerator helps us to improve our understanding of fintech first hand, and also allows us to support development of the sector. We carry out explorative proofs of concept on use cases that are relevant to our role as a central bank that could enable us to function more efficiently and effectively. The knowledge we gain through the proof of concept process and our engagement with a broad spectrum of firms allows us to track trends and developments in the sector.

In return, we offer firms the chance to demonstrate their solutions for real issues, and to work directly with some of our leading experts. Firms will get feedback on their applicability and usefulness their tools and products over the course of a proof of concept. We will also provide firms with valuable references for future clients, and the opportunity to join our fintech community.

How can fintech firms work with us?

Fintech firms can engage with us through submitting a response to one of our calls for applications, or through our fintech community.

Fintech Community

We have created a community of fintech-related organisations with the aims of:

  • sharing developments, trends and insights so that firms across the sector can learn from each other, and we in turn can learn from them
  • making sure that we’re engaging with a variety of fintech firms from across the sector
  • increasing networking across firms that are interested in fintech, helping the sector to develop.

The community will not discuss or share any commercially sensitive material. It is free to join, but we are initially limiting membership to firms most relevant to the Bank’s remit and fintech objectives, and those that have made contact with us to share knowledge. Firms which have completed a proof of concept with us will automatically be invited to join. We’ll review community membership regularly to make sure members continue to meet these criteria, and that we have an appropriate balance of organisations. We will also continue to engage with fintech firms outside the community.

Members of the community will be invited to meet with us two to four times per year, to share updates on trends and developments in the sector. These meetings are confidential. Community members will also be invited to quarterly networking and knowledge-sharing events. We publish summaries of the topics discussed at these events:

Key discussion topics:

PDFFintech Community event 13 June 2017

PDFFintech Community event 17 March 2017

Current members of the community are:

  • Anomali
  • British Bankers’ Assocation (BBA)
  • British Bankers’ Assocation (BBA) innovation working group
  • BitSight
  • BMLL
  • BT
  • Deloitte LLP
  • Department for Business, Energy and Industrial Strategy
  • Enforcd
  • Financial Conduct Authority (FCA)
  • Illuminate Financial Management LLP
  • Innovate Finance
  • London and Partners
  • NEX/Euclid Opportunities
  • Omidyar Network
  • Privitar
  • PwC
  • Simmons and Simmons LLP
  • Thomson Reuters

Membership of the community does not entail approval or endorsement by the Bank.

Calls for applications

Our latest call for applications is now closed.

In the meantime, if you would like to stay in touch with us, you can follow us on LinkedIn. We will also be posting updates on our work on the Bank’s Twitter account.

If you have any questions about the accelerator, you can email Fintech@bankofengland.co.uk.

Which fintech firms have we worked with?

To date, we have worked with the following firms:

Cyber security

BitSight

In the BitSight proof of concept, we tested BitSight’s tool that assesses a firm’s cyber resilience based on publicly available data.

PDFProof of concept

Anomali and ThreatConnect

We asked these companies to create a searchable database where intelligence on cybersecurity threats can be optimised and stored.

Anomali
PDFProof of concept

ThreatConnect
PDFProof of concept

Distributed ledger technology

PwC

Our project with PwC looked at possible applications of blockchain and distributed ledger technology.

PDFProof of content

Ripple

We carried out a proof of concept with Ripple to explore the synchronised movement of two different currencies across two different real-time gross settlement systems linked using Ripple Connect and the Interledger protocol. We wanted to demonstrate how this kind of synchronisation might lower settlement risk and improve the speed and efficiency of cross-border payments.

PDFProof of concept

Machine learning

MindBridge Analytics Inc

MindBridge’s artificial intelligence (AI) auditor detects anomalies in financial transactions and reports using data science, machine learning and other AI techniques. In this proof of concept we asked the firm to prove the analytical value of the tool for detecting anomalies in anonymised credit union datasets.

PDFProof of concept

BMLL

BMLL’s machine-learning platform provides access to historic limit order book data – trading exchanges’ records of buyer and seller interest in particular trades – with the aim of making it easier to analyse and check anomalies in the data. We tested the alpha version for the BMLL proof of concept.

PDFProof of concept

Data analysis

Enforcd

Enforcd’s enforcement database holds publicly available UK regulatory enforcement actions and news, along with commentary written by Enforcd’s own regulatory lawyers, and insights from City law firms and chambers. In this proof of concept we wanted to understand the benefits and the influence on decision-making of viewing publically available regulatory enforcement action from different perspectives.

PDFProof of concept

Experimentus

This proof of concept applied Experimentus’ ORB tool to analyse historic Bank of England projects to visualise how they had performed against a range of standard key performance indicators.

PDFProof of concept

Privitar

For this proof of concept, we tested Privitar’s software on a manufactured dataset to examine the analytical value of the desensitised data. We did this to establish whether we could provide Bank researchers with wider access to data.

PDFProof of content

This page was last updated 22 October 2017
Was this page useful?
Add your details...