Data Scientist Lead

Key Responsibilities Analyze large datasets to identify fraud trends, anomalies, and emerging risk patterns Design and implement fraud monitoring strategies for new products and capabilities Optimize fraud detection processes by improving alert logic and reducing false positives Apply predictive modeling techniques for segmentation, targeting, and risk assessment Develop and enhance reporting dashboards for fraud and portfolio performance tracking Establish baselines and track performance against business expectations Collaborate with risk, product, engineering, and strategy teams Partner with internal and external data providers, ensuring data quality and governance Support development and enhancement of fraud detection controls and frameworks Contribute to risk appetite definition and monitoring strategies Technical Skills Must Have Strong background in Math, Statistics, and Quantitative Analysis Proficiency in SQL, Python, or R Strong Analytical Mindset and Data Skills Experience with Tableau or Power BI Nice To Have Model Development experience Prior Banking or Financial Services experience Anti-Fraud / Fraud Analytics experience Knowledge of Digital Transactions (ACH, Wire Transfer, etc.) Effective Communication Skills Soft Skills Strong written and verbal communication skills Strong analytical and problem-solving abilities Cross-functional collaboration skills Ability to work in a fast-paced, data-driven environment Education Bachelor s degree (minimum required)