Senior Fraud Risk Modeler (Credit Card)

As a Senior Fraud Risk Modeler specializing in the credit card domain, you will play a crucial role in designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels. Your responsibilities will include: - **Model Development & Validation:** Building, implementing, and validating fraud detection and prevention models using advanced statistical and machine learning techniques specifically for credit card products. - **Data Analysis & Interpretation:** Analyzing large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights. - **Risk Assessment & Monitoring:** Evaluating existing fraud controls, monitoring fraud trends, and quantifying exposure to evolving threats across digital and traditional channels. - **Communication & Collaboration:** Effectively presenting analytical findings and model performance to technical and non-technical stakeholders, collaborating with cross-functional teams to enhance fraud detection capabilities. - **Documentation & Reporting:** Maintaining comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements. You should possess the following qualifications: - 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, focusing on developing, implementing, and maintaining fraud risk models across products and channels. - 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. - Good understanding of fraud typologies, fraud prevention technologies, and fraud domain expertise for debit card product. - Excellent communication and stakeholder management skills, with the ability to clearly articulate model logic, assumptions, and outcomes to non-technical audiences. This role requires a proactive individual who can identify vulnerabilities in fraud strategies, recommend enhancements, and respond to emerging threats in a fast-paced environment. Stay updated with the latest fraud schemes, detection technologies, and regulatory developments impacting fraud risk management to ensure effective fraud prevention strategies.,