FinTech & International Payments – #CloudTalks with Currency Cloud’s John Hammond

In this episode of #CloudTalks, Compare the Cloud speaks with John Hammond from Currency Cloud about how their FinTech solutions reimagine how money moves through the digital economy.


Established in early 2012, Currency Cloud is a FinTech company in the heart of London. Their mission is to power next-generation enterprises with a transparent, fast, easy-to-use and secure payments engine that will transform the way businesses move money around the world.

Today, they work with over 125 platform customers and their service has reached more than 150,000 end-customers. They now process in excess of $10 billion in payments every year, across more than 40 currencies in 212 countries.

+ posts

Meet Stella


Related articles

Strategy and anticipation are key to securing against cyber threats

With technological progress comes increased security risks. Sophisticated and co-ordinated cyber groups are working every day to find potential entry points into organisations’ networks.

Raising talent attraction and retention with IT investment

To be at the centre of talent attraction and retention, businesses should make use of workplace technology that enables them to integrate collaborative, secure and sustainable measures into their operations.

How NIST started the countdown on the long journey to quantum safety

Leading the charge to develop a post-quantum cryptographic standard for organisations is the US government’s National Institute of Standards and Technology (NIST).

Overcoming economic uncertainty with cloud flexibility

Particularly for companies that jumped into the cloud headfirst, taking the time to optimise existing processes is a remarkable way to reduce infrastructure costs and free up OPEX for delivering business value.

“The need for speed” – Finding a way to unlock agility for today’s businesses 

To fully support agility, the solutions chosen will need to enshrine all the latest innovations in areas like artificial intelligence, machine learning or prescriptive analytics.

Subscribe to our Newsletter