We are hiring for an experienced and analytical Intelligence Analyst to join our client, in tackling financial crime. The successful candidate will play a pivotal role in the identification, investigation, and prevention of financial crimes, including money laundering, fraud, bribery, and corruption, using advanced data analysis techniques, open-source intelligence, and industry knowledge.This is an exciting permanent opportunity to work in a fast-paced environment, providing vital insights to mitigate risks associated with financial crime.Key Responsibilities:Analyse suspicious activities related to financial crime, such as money laundering, fraud, terrorist financing, and corruption.Conduct in-depth analysis of transactional data, customer profiles, and financial patterns to detect anomalies and identify risks.Gather and analyse external and internal intelligence, including public data, regulatory updates, and industry trends, to assess and mitigate emerging financial crime threats.Work closely with cross-functional teams, including compliance, legal, and operations, to investigate potential financial crimes and assist in regulatory reporting.Provide actionable insights to improve financial crime detection processes, including recommending process improvements, systems upgrades, and enhanced monitoring procedures.Assist in ensuring compliance with regulatory frameworks such as FATF, AML regulations, KYC, and sanctions compliance, ensuring the organization remains in line with evolving regulations.Skills and QualificationsA bachelor's degree in Finance, Business, Criminal Justice, Cybersecurity, or a related field would be desirable.At least 3-5 years of experience in financial crime analysis, intelligence gathering, risk management, or a similar role within financial services or law enforcement.Strong understanding of financial crime regulations, including AML (Anti-Money Laundering), KYC (Know Your Customer), and relevant legal frameworks.Excellent ability to analyse complex data and draw meaningful insights to detect suspicious activities and potential fraud patterns.Strong written and verbal communication skillsHigh attention to detail and the ability to identify patterns and trends in large datasets.
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