
New management
Payment processor, SecureTrading, is appointing Justin Fraser as sales and marketing director Europe, as it seeks to support aggressive expansion plans in Europe and consolidate its US operation (view press release). The company, through SecureTrading Inc in the US, claims to have developed a regulated payment solution for the US online gambling market, and Fraser will be tasked with leveraging this specialism in new territories from his own experience of the sector when he held the position of head of payments at Unibet.com.
Prior to joining SecureTrading, Fraser was sales director for First Data Merchant Solutions. In addition to online gaming and eCommerce, he has experience and knowledge in alternative areas of payments and mobile commerce, including ewallet, prepaid and fraud prevention.
“This is a very exciting time to join SecureTrading and I’ll be focusing on our plans to expand into new territories and markets, said Fraser. “SecureTrading is at the heart of an industry that is going through some exciting changes and I look forward to driving future growth while giving our ever growing customer and partner base, a first class service.”
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more