
Senior Credit Card Fraud Prevention Specialist
4 days ago
Senior Fraud Risk Modelers specialize in developing and maintaining models to detect and prevent fraud across various financial products and channels. This role requires expertise in analyzing emerging fraud trends, assessing fraud risk, and communicating insights to stakeholders.
- Key Responsibilities:
- Design, develop, and maintain fraud detection and prevention models using advanced statistical and machine learning techniques.
- Analyze large-scale transactional and behavioral data to identify fraud patterns and assess model performance.
- Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.
- Present analytical findings and model performance to both technical and non-technical stakeholders.
We are seeking a highly skilled and experienced individual with a strong background in fraud analytics and modeling. The ideal candidate will have:
- A bachelor's 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.
- Proven experience in fraud analytics and modelling, including transaction monitoring, real-time detection, and rules-based or machine learning-driven approaches.
- Strong programming skills in Python, SQL, R, or SAS for model development, data manipulation, and automation.
- Proficiency with machine learning and statistical techniques such as decision trees, gradient boosting, clustering, anomaly detection, and neural networks.
The selected candidate will have excellent communication and stakeholder management skills, with the ability to clearly articulate model logic, assumptions, and outcomes to non-technical audiences.
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