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Fraud and Data Science

Remote: 
Full Remote
Salary: 
10 - 10K yearly
Experience: 
Senior (5-10 years)
Work from: 
Guatemala

Offer summary

Qualifications:

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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Vana
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Job description

Position Overview
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.

    Hard Skills

    Machine LearningFraud DetectionPython (Programming Language)Data MiningSQL (Programming Language)Scikit-Learn (Python Package)Amazon Web ServicesNoSQLTableau (Business Intelligence Software)TensorFlowFraud DetectionFraud Detection

    Other Skills

    • Leadership
    • Analytical Thinking
    • Problem Solving
    Are you interested?

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