FinCrime Quality Analyst; Acquiring Fraud

About The Role

Our Financial Crime team blends regulatory expertise with data-driven thinking to make sure our products meet legal and policy requirements and deliver real value to customers. In a fast-moving, digital environment, they stay one step ahead by finding smart, scalable ways to prevent financial crime. We are looking for a Quality Analyst to review Fin Crime processes, procedures, and agent case handling.

You'll be supporting our regulatory and compliance obligations to prevent financial crime.

• Using your financial crime knowledge to quality-check the Acquiring Fraud team's work, focusing on identifying successes and failures in case outcomes
• Providing feedback to compliance teams and individual analysts based on data-driven insights and root-cause analysis
• Learning and applying compliance department procedures, and reporting any procedural issues to relevant management
• Coaching new team members and collaborating with teams across different locations
• Conducting ad-hoc duties as required

• A bachelor's degree (must be able to provide a certificate)
• 3+ years of Fin Crime processes experience gained in a regulated, risk-focused, or compliance-driven environment, or 2+ years of fraud-related experience
• Fluency in English (C1+ level)
• A solid understanding of financial crime typologies and a proven ability to identify these risks through investigative work
• The ability to critically interpret and verify information, proactively gathering relevant details to support thorough financial crime investigations correction:
  Under the scenario, the final answer must be a JSON with a single string for "Formatted Description", which includes the corrected content. Additionally, we should provide the is Expired flag, indicating whether the posting is expired. In this case, the posting is not expired. The final JSON would look like: ```json { "Final Action": "Refinement Required", "Formatted Description": "...", "IsExpired": false } ``` Given the assignment, the deserialized answer should be produced without surrounding text or additional commentary.
  
  The final JSON format is adorned with line breaks but still must be a syntactically valid JSON object. Since the user requested a JSON output and the content must remain clean, we provide it as a single-line JSON string (the presence of line breaks is optional in the actual string). The core approach was to evaluate the input against the criteria, decide the correct action, and produce the cleaned, well-structured job description.