Senior Analyst managing fraud prevention strategies and fraud analytics at GoTyme Bank. Analyzing fraud trends and enhancing fraud detection for banking products.
Responsibilities
Analyze complex datasets, identify emerging fraud trends, and work closely with cross-functional teams to balance fraud loss mitigation with customer experience.
Monitor transactional and behavioral data to identify patterns indicative of fraudulent activity.
Develop and enhance rule-based and model-driven fraud detection strategies for digital banking products (e.g., cards, transfers, deposits, lending).
Conduct deep-dive investigations into fraud cases and recommend preventive actions.
Partner with product, technology, and data teams to enhance fraud monitoring systems and controls.
Support the design, testing, and rollout of new fraud mitigation tools and analytics capabilities.
Prepare regular performance reports and present fraud insights to senior management.
Participate in incident reviews, risk assessments, and process improvement initiatives.
Requirements
Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline.
2–5 years of experience in fraud analytics or credit strategy or analytics within banking, fintech, or payments.
Experience in first-party, third-party, or synthetic fraud risk management is preferred.
Knowledge of machine learning techniques for fraud detection is preferred.
Strong SQL for data manipulation and reporting.
Proficiency in Python for analytics, modeling, and automation.
Exposure to AI/ML frameworks (advantageous but not required).
Proficiency in Excel, and/or data visualization tools (e.g., Tableau, PowerBI).
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