ODIN

Anti-Money Laundering Monitoring in Wholesale Financial Markets made easy with ODIN.

ODIN is Skadi’s proprietary multi-asset class anti-money laundering trade surveillance tool.

Identify suspicious trading at speed
ODIN’s advanced software monitors vast amounts of data from your legacy systems and searches for any suspicious trading that doesn’t make economic sense.

Multi-asset class AML trade and customer surveillance just got easier
Plug and play—ODIN works alongside your existing AML/KYC and Swift screening processes.

Next level Anti-Money Laundering transaction monitoring for wholesale markets
ODIN software works with your existing order and execution management systems to highlight potential money laundering issues in the wholesale markets—without interrupting the flow of your business.

“According to Norse mythology, the god ODIN put out one of his eyes so that he could see more clearly. And that’s what Skadi’s ODIN anti-money laundering software does. The software tracks uneconomic trades and adds a fail-safe automated layer of security to your anti-money laundering protection. And its plug-and-play design pulls in your data feeds, meaning you can start seeing the bigger picture with ease and at speed.”

Nic Corry, Director

Prevent money laundering today
Get in touch today to discover how ODIN can help you identify potential financial crime going across your books and enable you to see what can’t be seen with the naked eye.

We’re here to help
Our subject matter experts will work with your compliance and financial crime monitoring functions to explain and demonstrate ODIN’s real power in spotting suspicious trading activity.

“We’ve worked to develop our ODIN software to support your Money Laundering Reporting Officers and save you money on multiple software upgrades and headcount. It will also get a big tick from the regulators.”

Nic Corry, Director

ICA Innovator of The Year Award Shortlist

INNOVATOR OF THE YEAR AWARD

SKADI are proud to have been shortlisted for the ICA Innovator of the Year award