
Chief Debit Card Fraud Prevention Specialist
2 days ago
We are seeking a seasoned professional to lead our fraud risk management initiatives.
Key Responsibilities:
- Model Development & Validation: Design, develop, and maintain models to detect and prevent fraud across various financial products and channels.
- Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.
- Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.
- Communication & Collaboration: Effectively present analytical findings and model performance to both technical and non-technical stakeholders.
- Documentation & Reporting: Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements.
Requirements:
- Strong proficiency in Python, SQL, and data science tools; familiarity with real-time decision engines and fraud detection platforms is a plus.
- Deep understanding of fraud domain expertise for debit card product.
- Ability to lead fraud analytics initiatives, mentor junior analysts or data scientists, and collaborate with risk, IT, and fraud operations teams.
- Proven experience in fraud analytics and modelling, including transaction monitoring, real-time detection, and rules-based or machine learning-driven approaches.
Qualifications:
- Bachelors or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
- 6 to 7 years of hands-on experience in a banking environment, specifically in developing, implementing, and maintaining fraud risk models across products and channels.
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