Job Description 

As a Fraud Prevention Specialist, you will play a crucial role in safeguarding the financial integrity and reputation of our organization by identifying, investigating, and mitigating fraudulent activities. You will utilize your analytical skills, attention to detail, and knowledge of fraud detection techniques to proactively monitor transactions, detect suspicious patterns, and implement effective strategies to prevent fraud losses. Collaboration with cross-functional teams and staying abreast of emerging fraud trends will be essential for success in this role.

Responsibilities:

• Monitor and analyze transactional data to identify potentially fraudulent activities on Payins and  Payouts.
• Investigate suspicious transactions, accounts, or behaviors using various fraud detection tools and techniques.
• Collaborate with internal stakeholders, including finance, legal, and product teams, to implement fraud prevention measures and ensure compliance with policies and regulations.
• Preparing reports on fraud cases
• Stay updated on emerging fraud trends, tools, and techniques to enhance fraud detection capabilities.
• Work closely with law enforcement agencies and external partners to report and investigate fraudulent activities as necessary.

Qualifications:

• Bachelor's degree in business, finance, criminal justice, or a related field. Advanced degree or professional certifications (e.g., Certified Anti-Money Laundering Specialist) are a plus.
• 3+ years of proven experience in fraud prevention, detection, or investigation within the financial services, e-commerce, or related industry.
• Familiarity with fraud detection tools, software, and techniques
• Fluency in English is mandatory, any other language would be an asset
• Excellent communication skills, with the ability to effectively communicate complex concepts and findings
• Ability to work independently and collaboratively in a fast-paced, dynamic environment, managing multiple priorities effectively.
• Proficiency in Microsoft Office suite and experience with data analysis tools (e.g., SQL, Excel, Tableau) is preferred.

Additional information:

• • HR Call
  • 1st Interview with our Fraud prevention Lead
  • 2nd interview with our Head of Compliance