Job Description

: Drive detection of fraud that will lead to financial losses through screening of fraud MOs, in depth analysis of data and audits of high risk processes Identify trends, patterns, and anomalies in loss data that may indicate fraudulent activity Investigate suspicious incidents and potential fraud cases, and develop reports of findings and recommendations for action Collaborate with cross-functional teams to develop and implement fraud detection and prevention strategies, policies, and procedures Monitor and assess the effectiveness of fraud prevention controls and make recommendations for improvements Conduct regular fraud awareness and training sessions for employees, vendors, and other stakeholders Liaise with external partners, including law enforcement agencies and industry associations, to stay current on best practices and emerging trends in fraud detection and prevention Participate in risk assessments and audits to identify potential areas of fraud and recommend appropriate risk mitigation measures Support the implementation of new technologies and systems to improve fraud detection and prevention capabilities Requirements: Bachelor\'s degree in any subject with a strong analytical component Candidates with 0 - 5 years of experience in fraud detection and prevention in the logistics industry are welcomed to apply Strong analytical and problem-solving skills, with a keen eye for detail Familiarity with fraud detection and prevention tools, techniques, and methodologies is a plus Ability to draw actionable insights from datasets knowledge of SQL, Python or equivalent is a plus Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams Strong project management skills, with the ability to manage multiple tasks and priorities Knowledge of logistics industry operations and processes

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