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Dicetek LLC in Dubai seeks a Senior AML/Financial Crime Analyst to draft and review Suspicious Activity Reports with regulatory accuracy, and to analyze complex data sets to identify potential risks and trends.
You will collaborate with compliance, legal and investigative teams to ensure effective risk mitigation, stay current with sanctions, regulatory changes, and best practices, and apply SAS Enterprise Guide and Enterprise Miner, Lexis-Nexis, World-Check and Factiva for research.
Draft and review Suspicious Activity Reports with accuracy and attention to regulatory requirements Decision making skillsAnalyze complex data sets to identify potential financial crime risks and trends Conduct thorough research using proprietary databases and open-source intelligence tools Collaborate with compliance legal and investigative teams to ensure effective risk mitigation Stay current with emerging threats regulatory changes and industry best practices
Proactive approach to problem-solving and investigative work Ability to manage multiple priorities in a fast-paced environment Strong ethical standards and commitment to confidentiality
Bachelor’s or Master’s degree in Banking, Compliance, Law, Data Science, or Statistics. Certified Anti-Money Laundering Specialist (CAMS) or completion of any recognized compliance course (e.g., ICA diploma).
Minimum 5 years of experience in financial crime intelligence, AML investigations, or compliance roles. At least 2 years of hands‑on experience in data mining/analytics, including proficiency with SAS Enterprise Guide and Enterprise Miner. Extensive experience leveraging proprietary databases (Lexis-Nexis, World-check, Factiva, etc.) for research and investigative purposes.
Strong expertise in conducting financial crime intelligence investigations. Exceptional data analysis and risk assessment capabilities. In-depth knowledge of regional and/or global sanctions, political developments, law enforcement issues, and corruption-related matters. Proficiency in analytical tools, dashboards, and data visualization using MS BI, as well as programming languages such as SQL and Python (good to have). Advanced Microsoft Excel skills, including Macros and Power Query. Experience applying statistical methods for comprehensive dataset analysis. Strong written and verbal communication skills in English.