Paula Guidorizzi Borges


Paula is a highly skilled Anti-Money Laundering (AML) and Financial Crime Subject Matter Expert (SME) with 16 years of experience and a primary focus on implementing, maintaining, and optimizing transaction monitoring systems using AI and machine learning models. She was a key contributor to migrating my organization from rules-based TM to an award-winning AI/ML model, making us first in the industry to do so.

With global experience in a large, multinational bank, she has developed a strong understanding of AML, model risk, and financial crime regulations in various countries and regions. She has led and managed teams ranging in size from 6 to 120 individuals, ensuring the team members stay updated with the latest regulatory requirements and that our financial crime models are aligned with the organization’s strategic ambitions. 

She is an expert in developing and enhancing global standards processes to comply with regulatory requirements. As a strong financial crime and model risk manager, she has overseen the development, validation, and monitoring of AI/ML models, ensuring their accuracy, reliability, and compliance with regulatory standards. she possesses advanced analytical and problem-solving skills, enabling me to identify and address potential risks proactively. 

Her extensive experience in AI, financial crime, and model risk management, along with her achievements in implementing and optimizing FinCrime models and systems, makes her an invaluable asset to any team. She is dedicated to combating financial crime and protecting customers and stakeholders from the negative impacts of illicit financial activities







Paula Guidorizzi Borges 
until recently Global Head of
Dynamic Risk Assessment