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Principal Anti-Fraud Strategist
3 weeks ago
At the forefront of financial protection, we seek a seasoned expert to lead our efforts in detecting and preventing fraud across various channels. This role demands expertise in designing, developing, and maintaining models that identify and mitigate emerging fraud trends.
Key Responsibilities:- Model Development & Validation: Develop and validate fraud detection and prevention models using advanced statistical and machine learning techniques for credit card products.
- Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns 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 and risk assumptions.
- Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
- 6+ years of hands-on experience in a banking environment, specifically in developing and maintaining fraud risk models.
- Proven experience in fraud analytics and modeling, including transaction monitoring and real-time detection.
- Strong programming skills in Python, SQL, R, or SAS for model development and data manipulation.
- Proficiency with machine learning and statistical techniques such as decision trees and gradient boosting.