
Professional Development Series
The Professional Development series, within The Treasury Update Podcast, dives into insights and strategies for beginners, veterans, and expert treasurers.
The Professional Development series, within The Treasury Update Podcast, dives into insights and strategies for beginners, veterans, and expert treasurers.
In today’s podcast episode, Craig Jeffery is joined by Alexandros Koliavras, President of the Hellenic Association of Treasurers. They discuss why Greece is an attractive location for a treasury center, citing competitive pricing, a strong pool of finance graduates, and new tax incentives. The conversation also covers the rise of shared service centers and the Hellenic Association of Treasurers’ university collaborations. Listen in to learn more.
Welcome to the Treasury Update Podcast’s first episode in the Payment Primer Series. This episode kicks off with a deep dive into ACH payments. We cover the role of Nacha, the differences between ACH and other payment systems, security concerns, processing timelines, and key terms and acronyms. Listen in to learn more.
Criminals are becoming increasingly sophisticated and adept at using better tools to commit fraud and steal funds from corporations. This webinar will look at the playbook of criminals and zero in on some key security methods used by companies and banks to protect their payments and accounts. The defenders’ playbook covers many techniques, and this webinar will explore several next-gen defenses, including control over bank letters and broader positive payment services (beyond checks). The discussion will increase participants’ understanding of how they can impair the ability of criminals to harm both banks and their corporate clients by building a more robust security footing. This fast-paced webinar will include real-life case studies and examples.
In today’s episode, we’ll hear from Christin Cifaldi on algorithmic trading. What is it, and how does it differ from traditional stock trading? What are the key components of an algorithm, and how do they make decisions?