Adrianna Fabijanska - Global Head Financial Crime Compliance – Investment Banking | ING Wholesale Banking
Adrianna is a purpose-driven Financial Crime Compliance and Technology Risk leader with a proven track record in navigating complex international regulations and driving transformation in traditional and emerging financial technologies. She specializes in embedding innovation and integrity into financial ecosystems, including conventional finance, digital assets, and blockchain. With nearly two decades of experience, Adrianna brings a strategic foresight, regulatory fluency, and cross-functional execution across Investment, Corporate, Private, and Wholesale Banking. My global leadership spans the UK, EU, MENA, APAC, and the Americas, grounded in AI, blockchain, and quantum-aware risk frameworks. Her aim is to bridge integrity, innovation, data, trust, risk, and opportunity for meaningful, sustainable impact.
All Sessions by Adrianna Fabijanska
TECH & INNOVATION
Keynote session: The Future of Compliance: Adapting Anti-Money Laundering Strategies in the Age of Technological Innovation
- Analyzing how financial technology innovations are reshaping the AML landscape and necessitating a re-evaluation of compliance frameworks
- Identifying new money laundering risks stemming from digital platforms and their implications for AML strategies
- Exploring the role of advanced data analytics and machine learning in improving transaction monitoring and enhancing the detection of suspicious activities
- Diversifying the approach to adapting to innovations: the need for tailored solutions that align with specific operational goals
EMERGING TECHNOLOGIES
Panel Discussion: Harnessing AI for AML: Technology-Driven Strategies to Combat Digital Financial Crime
- Navigating the complexities of transaction anonymity and regulatory oversight within Decentralized Finance (DeFi) platforms, leveraging AI for enhanced monitoring
- Overcoming challenges in detecting and regulating suspicious activities within cryptocurrency exchanges through AI-powered transaction analysis
- Addressing the potential pitfalls of AI-driven AML analytics, including bias, transparency concerns, and the necessity for robust human oversight in decision-making
- Strengthening digital identity verification in diverse markets using AI-driven authentication solutions to mitigate money laundering risks posed by inadequate verification processes