About this event
The ecosystem for preventing financial crime is under-performing, with as little as 1% of illicit transactions in Europe being recovered. And though a huge amount is known about predicate crimes and how criminals use the financial system to legitimise their ill-gotten funds, there are still unsatisfactory recovery rates of these gains.
Having a better understanding of how these crimes manifest in patterns of money-laundering behaviour, will improve risk identification and investigative activities.
We have teamed up with Napier to host a webinar about identifying typologies of various predicate crimes for money-laundering, how AI solutions can help to solve some of these issues and why it is important to collaborate on sharing financial crime typology information and intelligence. This virtual event will talk through:
Founded in 2017, RegTech Associates is a research company and use our analysis to provide strategic insight and advice to our clients. Our USP is our industry and regulatory knowledge, underpinned by the research of over 1,400 Reg and Risk Tech products and an extensive database.
Janet started coding in 1984 and discovered a passion for technology and problem-solving. She holds degrees in both Molecular Biochemistry and Mathematics and has a PhD in Computational Neuroscience where she started her work in Artificial Intelligence.
AML, CTF, Sanctions, ABC, Tax Evasion Specialist; Speaker, Panellist, Author; G7/G20
Nick worked in UK law enforcement for over 30 years and led several significant operations with partner agencies around the world into organised crime threats against the UK. He has significant experience in leading complex multi-national investigations and building effective public-private partnerships and taskforce models.
We are a research company and use our analysis to provide strategic insight and advice to our clients within the RegTech industry. This helps our technology clients grow and our regulated firm clients manage compliance more effectively.
Contact us at firstname.lastname@example.org
Share this event