A community for risk/compliance and anti financial crime officers to learn and grow together. You will find content with various topics to help fulfill this ambition.
Network for Financial Crime Prevention
Claim This Podcastby Network for Financial Crime Prevention
38 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
A community for risk/compliance and anti financial crime officers to learn and grow together. You will find content with various topics to help fulfill this ambition.
Language
🇺🇲
Publishing Since
1/7/2026
Reach the team behind Network for Financial Crime Prevention
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
June 8, 2026
Transaction Monitoring Framework for Financial Institutions
<p>A system isn't a framework — and most institutions don't realize the difference until a regulator points it out.In this episode, guest host Marika Torsdotter sits down with Francisco Mainez, a transaction monitoring leader with deep experience across global financial institutions and fintechs, to unpack what separates a real transaction monitoring framework from the software underneath it — and where institutions most often get it wrong. We cover what good looks like, why data remains the unsolved problem of 2026, how training has quietly become the second elephant in the room, and what the shift from rules-based detection toward more advanced analytics actually demands of governance. </p><p>A few things that stuck with me from this conversation:</p><p>→ A system is the technology. A framework is everything around it — typology library, governance, data, documentation. Buying one without building the other is the most common failure pattern in the industry.</p><p>→ Data is the toothache nobody fixes. Institutions keep buying new systems instead, because data work is harder, slower, and less visible. But you cannot monitor anything if you don't have the data to do it.</p><p>→ Training is the second elephant. Even the most advanced system will produce false positives in front of an investigator who doesn't know what to do with them. </p><p>As Francisco puts it: "Whatever you sweat in training, you won't bleed in battle."Whether you work in AML, compliance, fraud, or financial crime more broadly — if your institution runs transaction monitoring, this conversation is for you.</p>
April 16, 2026
Beyond ChatGPT: The AI Arsenal Compliance Has Been Ignoring
<p>In this episode, guest host Marika Torsdotter sits down with AI and financial crime compliance expert Aneta Klosek to cut through the noise around AI and reveal what most compliance professionals are still missing.While the industry fixates on large language models like ChatGPT, Aneta argues there's a whole ecosystem of AI algorithms quietly powering or failing to power the fight against financial crime. The conversation breaks down three concrete use cases:* Gradient Boosting — the workhorse inside most transaction monitoring systems, learning from historical patterns to prioritize alerts and reduce false positives far beyond what static rule-based systems can achieve.* K-Means Clustering — an unsupervised learning technique that segments customers by behavior, not just category. A $50,000 transfer that looks normal for a corporate treasury cluster is a massive red flag for a retail student cluster. Context is everything.* Word Embeddings — the technology that bridges unstructured text and risk intelligence. From recognizing that "Muhammad Al-Hassan" and "M. Al-Hassan" are the same person, to understanding that "cleared of fraud" and "charged with fraud" carry opposite risk signals this model brings semantic intelligence to name screening and adverse media.Aneta closes with a hard truth: the biggest gap in the industry isn't technology it's the skill gap between technical teams and compliance officers, and the dangerous tendency to treat AI as a pilot project rather than a core business strategy. Meanwhile, criminals face none of those constraints.Bottom line: Stop treating AI as a side project. Start with your data. Build from clarity, not hype.</p>
March 26, 2026
Muddling Through the Hormuz Crisis
<p>In our latest episode, "Muddling Through the HormuzCrisis," we spoke with David Tannenbaum of Blackstone Compliance about the real-world implications of the 2026 Iran conflict for sanctions programs, maritime intelligence, and compliance frameworks.</p><p>Some of what we cover might surprise you:</p><p>→ Commercial vessels are no longer using standardinternational fairways — they're routing through Iranian-controlled waters near Qeshm and Lavan Island</p><p>→ General License U has created unexpected openings for dark fleet vessels, but key federal prohibitions still apply</p><p>→ The single biggest blind spot? The sheer volume of Iranianoil currently on the water — much of it cycling through FSOs</p><p>→ Known typologies are shifting: bigger vessels giving wayto chemical tankers, Swiss traders potentially giving way to new UAE or Hong Kong entities</p><p>This episode is a must-listen for anyone in AML, tradefinance, commodity finance, or maritime compliance.</p><p>💡 The core message:Robust controls still matter — they just need to be pointed in the right direction.</p>
38 total episodes available
Similar Podcasts
Discover related shows you might enjoy
Deep-dive analytics for Network for Financial Crime Prevention
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Network for Financial Crime Prevention?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.