MoneyGram International has announced W. Alexander Hoffmann's appointment as senior vice president, global product management and emerging channels.
Global money transfer company MoneyGram International has announced that W. Alexander Hoffmann has been appointed to the company’s executive leadership team as senior vice president, global product management and emerging channels.
“MoneyGram is committed to continually enhancing its focus on innovation,” said Pamela H. Patsley, MoneyGram’s chairman and chief executive officer. “Alex has an impressive history of creating, developing and growing new products and services. He is an accomplished, hands-on strategist with vast global experience, and a veteran leader in the financial services sector. I am pleased that Alex has joined our leadership team.”
Hoffmann’s responsibilities will include leading MoneyGram’s global product portfolio, emerging channels and MoneyGram Online. He was previously head of consumer growth for Europe, Middle East and Africa at PayPal. With 20 years of experience in payments and cards, online services and technology, Hoffmann has a strong track record of building new products from concept to launch.
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
