5+ years in fraud prevention and risk management, Strong programming skills in Python, Experience with machine learning frameworks, Proficiency in SQL and database technologies.
Key responsabilities:
Lead the implementation of fraud detection systems
Analyze credit transaction patterns for fraud risks
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We 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
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.