Fraud and Data Science

Position OverviewWe are seeking an experienced Fraud and Data Science Manager to lead our fraud prevention initiatives and develop data-driven solutions to protect our platform and customers. This role combines technical expertise in data science with a deep understanding of fraud patterns and prevention strategies in the fintech space.

Key Responsibilities

• Lead the development and implementation of fraud detection and prevention systems using advanced machine learning techniques and data analytics
• Collaborate directly with the CTO and technical teams to integrate fraud prevention systems into our core platform
• Design and maintain fraud monitoring dashboards and real-time alert systems
• Analyze credit transaction patterns and user behavior to identify potential credit fraud risks and develop credit-specific mitigation strategies
• Build and manage a team of data scientists and fraud analysts
• Develop and implement fraud risk scoring models and rule engines
• Create and maintain documentation for fraud prevention systems and processes
• Partner with other departments to understand business requirements and implement appropriate fraud controls
• Stay current with emerging fraud trends and techniques in the fintech industry
• Provide regular reports and insights to senior management on fraud metrics and prevention effectiveness

Required Qualifications

• 5+ years of experience in fraud prevention and risk management, preferably in fintech or financial services
• Strong programming skills in Python or similar languages
• Extensive experience with machine learning frameworks and tools
• Proven track record of building and deploying fraud detection models
• Experience with SQL and database technologies
• Knowledge of payment systems and common fraud schemes
• Strong analytical and problem-solving skills
• Excellent project management and leadership abilities
• Proficiency in Spanish and/or English

Preferred Qualifications

• Experience with real-time fraud detection systems
• Understanding of regional financial markets and regulations in Central America and the Caribbean
• Previous experience in a fast-growing fintech company

Technical Skills

• Machine Learning & AI: TensorFlow, scikit-learn, or similar frameworks
• Database Systems: SQL, NoSQL
• Programming: Python
• BI Tools: Tableau
• Cloud Platforms: AWS