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Fraud Specialist

CompanyLula
LocationCape Town, South Africa
TypeOnsite

Overall Purpose


The Fraud specialist will lead efforts to identify fraudulent activity and introduce pro-active industry-leading fraud prevention tools and techniques, to limit risk associated with fraud, anti-money laundering and counter-terrorist-financing. This individual will utilize advanced fraud detection techniques, tools, and analytics to safeguard the organization from financial and reputational harm. The Fraud Specialist will work closely with cross-functional teams and provide mentorship to fraud analysts.

Key Responsibilities:


  • Lead and manage investigations into complex fraud cases across various channels, including transactions, accounts, and third-party relationships.
  • Analyze large datasets to detect and predict fraudulent activities, using machine learning models, anomaly detection, and behavioral analytics.
  • Review fraud patterns and trends, proposing proactive measures to mitigate risks.
  • Provide expert guidance and mentoring to the Fraud Analyst team to improve their skills and efficiency.
  • Collaborate with business, legal, compliance, and security teams to ensure fraud cases are handled in accordance with company policy and regulations.
  • Develop fraud detection strategies, testing methodologies, and recommend new tools or systems.
  • Assist with regulatory reporting and investigations related to fraud.
  • Document and present findings, including the development of reports and presentations.
  • Stay up to date with industry fraud trends, regulatory changes, and emerging technologies.

Skills & Qualifications:


  • Bachelor’s degree in Criminal Justice, Business, Finance, or a related field.
  • Certified Fraud Examiner.
  • 4+ years of experience in fraud prevention, investigations, or financial crime.
  • Strong analytical skills and proficiency in data analysis tools (Excel, SQL, Python, Snowflake etc.).
  • In-depth knowledge of fraud detection tools and methodologies.
  • Ability to interpret complex data, identify patterns, and recommend actions.
  • Experience leading investigations and collaborating with cross-functional teams.
  • Excellent written and verbal communication skills.
  • Strong attention to detail, organizational skills, and the ability to manage multiple investigations at once.

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