Dan Dixon

WORK HISTORY

SKILLS

ABOUT DAN DIXON

Specialist background in AFC Analytics and Frameworks,not only implementation but also continuous improvement I.e updates to reflect emerging risks and regulatory changes.Active role in Target Operating models, KOD\'s and Design documentation.Governance and Oversight engagement.Instrumental in the architectural landscape of risk frameworks from identification to mitigation.industry Collaboration- JMLIT/LEA etc.Extensive Governance and documentation experience,modelling and processes.Payments experience. Extensively in CB wire transactions but also roles in managing daily CHAPS/BACS/SWIFT.Implemented supplementary risk mitigation methodologies as the Head of Threat Analytics, using advanced analytics to mitigate emerging risks and identified modus opernadi on AML patterns.Collaboration with Sanctions teams to effectively monitor and screen payments.Traditional TM Solutions are now seen by regulators as a tick in the box and are often limited and ineffective in productivity, TA is a key and crucial part of de-risking the Client and external entity where TM cannot mitigate risk effectively.It is also now desirable by the FCA and Wolfsburg group to have Big data solutions in place in addtion to existing TM Coverage.Extensive data science background:SAS/SQL/Hue/cdsw Environment user with a background in BigData and in particular.Script Writing, model building,Network analytics through graph databases in Neo4J, Risk Mitigation through Analytics and analytical insight.Using Analytical Capabilities with a hybrid of investigative background and knowledge, i have ensured that key ML red flags and Modus Operandi are replicated in Big data environments to understand the Banks Global exposure to well documented ML schemes such as Mirror trading scandals,Russian and Azerbaijan Laundromats, Ukrainian Bank loan laundering scandals,Oil Bunkering,Cryptocurrency Exchange exposure.Extensive Shell company knowledge and risk mitigation.Raising business awareness and taking a Risk Based approach to ensure that The Bank are reactive in understanding and mitigating their risk exposure and Pro active ensuring adequate Risk coverage is in place going forwards.Data Mining and profile building.Cluster Analysis/Profiling/segmentationBuilt up in UK AML Anti Financial Crime experience.Statistical and Exploratory Analysis in Big Data lakes and Global Transaction Monitoring systems including Actimise FORTENT and MantasData visualisation tools:TableauQlikviewNeo4j/CypherTM systems:MantasactimiseLooking for permanent/Contract Roles in the midlands.