Senior Fraud Prevention Analyst - Transactional Monitoring

Responsibilities

• Map fraud scenarios related to illicit use of accounts (mule accounts / pass-through accounts), structuring preventive studies and action plans to mitigate risks
• Analyze risks across suspicious financial transaction journeys, covering cash-in, cash-out flows and transactional behavior (behavioral analysis)
• Develop, implement and monitor performance indicators and metrics, ensuring the effectiveness and efficiency of adopted strategies
• Actively contribute to defining and evolving the fraud prevention strategy, based on analysis of offenders, market trends and regulatory drivers
• Map and analyze offenders in processes, structuring and directing solutions focused on operational efficiency and continuous improvement
• Organize, prioritize and track requests, ensuring alignment with strategy and timely execution of initiatives
• Prepare reports and executive summaries, supporting analysis of fraud incidents and decision-making
• Connect data, processes and operations, promoting continuous improvement of transactional monitoring practices

Requirements

• Experience in Fraud Prevention, with relevant experience in financial environments
• Solid experience in Transactional Monitoring, focusing on analysis and mitigation of illicit account use (mule accounts and pass-through accounts)
• Practical knowledge of the Special Refund Mechanism (Mecanismo Especial de Devolução - MED) and precautionary blocking, including application in fraud scenarios
• Consistent knowledge of best practices in banking fraud prevention and the dynamics of the financial ecosystem
• Analytical ability to identify patterns, interpret suspicious behavior and understand fraud modus operandi
• Strong problem-solving skills for complex issues, with a structured and solution-oriented approach
• Good systemic view, with the ability to connect processes, data and business impact
• Excellent written communication and the ability to synthesize information for executive materials
• Knowledge of statistics applied to data analysis
• Proficiency with data analysis and visualization tools (Excel and Power BI)
• Interpersonal communication and stakeholder management skills, with the ability to run meetings and drive strategic solutions
• Knowledge of reputation databases (e.g., RC6, DICT)
• Experience with risk strategy applied to recipient/destination accounts
• Proficiency in data analysis languages (Python, R and/or SQL)
• Experience or familiarity with process structuring and improvement will be considered a plus

#J-18808-Ljbffr