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