Fraud Risk Analyst
منذ 17 ساعات
Abu Dhabi United Arab Emirates
career advisory worldwide
دوام كامل
مجانًا عبر البريد الإلكتروني أو Google
احفظ هذه الوظيفة وحافظ على تنظيم بحثك
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مجانًا عبر البريد الإلكتروني أو Google
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Job Description
Role Description The Fraud Risk Analyst / Financial Crime Analyst is a part-time remote role focused on identifying, assessing, and mitigating fraud and financial crime risks related to client job search activities and professional profiles. In this role, the analyst reviews client data, online profiles, and application materials to detect inconsistencies, potential misrepresentation, or exposure to fraudulent job offers and scams. The analyst conducts risk assessments, analyzes patterns and trends in financial crime and recruitment fraud, and prepares clear reports and recommendations to protect clients and the organization. The role also involves collaborating with advisors to improve internal controls, updating risk frameworks based on emerging threats, and communicating findings in a concise, client-friendly manner. Qualifications
- Candidates should possess strong Analytical Skills and Risk Analysis capabilities for assessing fraud patterns and exposure to financial crime.
- Candidates should possess foundational knowledge in Finance and practical insight into financial systems, transactions, and common fraud typologies.
- Candidates should possess solid Statistics and data interpretation skills to analyze trends, metrics, and risk indicators.
- Candidates should possess clear and professional Communication skills for explaining complex risk findings to non-specialist stakeholders.
- Relevant experience in fraud risk management, financial crime analysis, compliance, or related fields is beneficial.
- Familiarity with regulatory frameworks, anti-money laundering (AML) principles, and fraud prevention best practices is an advantage.
- Ability to work independently in a remote environment, manage multiple cases, and maintain strict confidentiality.
- Bachelor's degree in Finance, Economics, Data Analytics, Criminology, or a related discipline, or equivalent practical experience.