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Quality Auditor

Do you want to work with Facebook to build the best Payments Compliance teams in the tech industry? Join us in this rapidly growing team as we continue building a robust and innovative quality program in Menlo Park!

Job Overview:
• Conduct weekly quality assessments across global organization encompassing complex processes for anti-money laundering and identity verification/Know Your Customer workflows
• Track/flag trends and patterns within the assessments
• Report, calibrate and share results with stakeholders
• Maintain, Edit and Update documentation of various methods and procedures
• Stay connected with how our support ecosystem is evolving and help head off quality issues before they begin
• Prepare technical reports containing compliance status analysis, identifying non-compliance/non-conformance conditions and recommending actions to correct and prevent recurrence

• Ability to be agile and innovative within a rapidly expanding team with new and developing processes
• Experience in Payments Compliance required, AML and/or IDV/KYC preferred
• Experience in quality reviews/auditing of cases in the payments compliance space
• Ability to maintain and focus on attention to detail while completing repetitious work
• Ability to iterate through large volumes of data and quickly determine decision making accuracy on a case-by-case basis given a set of defined processes
• Ability to multitask and support multiple initiatives while working in an unstructured environment of fast growth, ambiguity and minimal guidance
• Excellent and objective judgment, ethical standards and communication skills
• Strong critical thinking and exceptional problem solving skills
• Experience in quality measurement or quality improvement projects

• A quality / audit background involving large data sets and strict compliance controls preferred)
• Familiarity with legal documents, structure and language
• Strong practical and advanced experience with Excel (VBA, PivotTable, Charts, Statistical functions)
• Tableau, SQL and report building experience a plus

BA/BS within Statistics or Computer Science field is preferred

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