10th November 2025
Hilton Canary Wharf
Hilton Canary Wharf
10th November 2025
Hilton Canary Wharf
Hilton Canary Wharf
This presentation exposes the language in fraudulent communications; exploring how legitimacy and credibility are maintained while the interaction movesto requests for money. It reveals the techniques that normalize and mitigate intimate and financial requests that would otherwise cause the victim concern and shows how this can be used to protect the public from future frauds.
BIO
Dr Elisabeth Carter is a criminologist and forensic linguist who conducts interdisciplinary research at the intersection of language and the law. She is bestknown for her work in examining fraudulent interactions, particularly romance and investment fraud. Elisabeth writes research papers, journal articles, cross-sector briefings and books, and regularly features in national TV and radio series, podcasts and print media, talking about fraud, deception, grooming andcompliance. She uses her research to support law enforcement campaigns, drive police operations, deliver training in practical strategies to disrupt thepower of fraudulent communications across the public, private and third sector, and safeguard people in positions of vulnerability.
Overview of scams, behavioural red flags, detection and disruption techniques, role of AML/CTF controls in fraud prevention
BIO
Pallavi is a seasoned professional with a wealth of experience in Financial Crime across the 1LOD and 2LOD. Her expertise has been honed through her tenurein several high-street banks. Currently, she serves as a Senior Financial Crime Officer in the Financial Crime Intelligence Unit at the Bank of China. Pallavi is aFounder of the ‘Fincrime Warrior Roundtables,’ which focuses on discussing financial crime topics and their practical applications in daily roles. Pallavi’sprofessional background is marked by her specialization in key areas of Financial Crime. She is an expert in Anti-Money Laundering (AML), fraudprevention/investigations, conducting bank-wide trainings and risk assessments. Pallavi holds an ICA Diploma in AML and is a Member there. She also has anICA Advanced Certificate in AML and is an ICA Certified Financial Crime Investigator. She regularly writes articles on financial crime topics on LinkedIn. Pallavi’scommitment to financial crime is further demonstrated through her dedication to training and educating her team and mentees, fostering a knowledge-sharing culture. She is a Speaker at various events and conferences, and she is a member of many networking groups focused on financial crime.
Despite Pallavi’s technological proficiency, she doesn’t prefer to use NFC payment methods.
Struggling to get leadership to prioritise fraud prevention? This session shows how to frame fraud as a growth enabler, align with executive goals, and turn compliance conversations into business value.
BIO
Mira Szalma is a digital fraud prevention and compliance consultant with a strong legal and HR background (LLB Law, CIPD Level 7). At SEON, she helps organisations integrate advanced KYC and identity verification into customer acquisition strategies, ensuring regulatory compliance while driving innovation. Mira’s global experience spans cybersecurity, e-discovery, and risk analysis, where she has led complex tenders and strategic implementations. Her consultative, data-driven approach supports clients across industries in navigating regulatory landscapes and mitigating fraud, making her a valued advisor at the intersection of legal, tech, and compliance.
Come & gain great insights into body language and the whole area of deception detection. Darren ‘s presentations are packed with interactive psychological games and never fail to inspire, educate and entertain
BIO
Darren used to spend his time dealing with Elias cheats and criminals as a police officer since 2010 he has been a regular on our TV screens, assessing politician celebrity royalty and other public figures on their body language, behaviour and truthfulness for the program the media simply call him the human lie detector.