AT
Fraud Risk Analyst / Financial Crime Analyst
- Hiring from
- United Arab Emirates
- Work type
- Remote
- Posted
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Role Description This remote, part-time Fraud Risk Analyst / Financial Crime Analyst role at ASO Transport Logistics focuses on identifying, assessing, and mitigating fraud and financial crime risks across transport and logistics operations. The role involves monitoring transactions and account activity, reviewing alerts and exceptions, and performing detailed risk assessments to detect unusual patterns or suspicious behavior. The analyst collaborates with finance, operations, and compliance teams to investigate cases, document findings, and recommend controls or process improvements. Daily tasks include preparing concise reports, maintaining accurate case records, supporting regulatory and internal audit requests, and contributing to the development and refinement of fraud detection models and procedures. The role also requires staying informed about emerging fraud trends and industry best practices to continuously strengthen risk management frameworks.
Qualifications
Qualifications
- Strong analytical skills and critical thinking abilities to interpret complex data and identify potential fraud or financial crime indicators.
- Proficiency in risk analysis and risk assessment methodologies, with experience applying them to financial, operational, or transactional data.
- Foundational knowledge of finance and financial controls, preferably within logistics, transportation, banking, or payments environments.
- Ability to work with statistics, data sets, and basic quantitative methods to support fraud detection and performance measurement.
- Clear and professional communication skills, including the ability to prepare concise written reports and collaborate with cross-functional teams.
- High ethical standards, attention to detail, and a commitment to confidentiality and regulatory compliance.
- Comfort working independently in a remote, part-time setting, managing priorities and deadlines with minimal supervision.
- Relevant education in finance, economics, statistics, criminology, data analysis, or a related field; professional certifications in fraud examination or risk management are an advantage.
