Data Scientist - Fraud Strategy

We are seeking a highly analytical and experienced Data Scientist Business Analyst to join our Fraud Strategy Practice, developing and implementing fraud strategies using statistical and predictive analytics, machine learning, and data visualization.

Requirements

• 4+ years related work experience in fraud strategy or fraud data science field with building strategies or models in banking industry (Retail Bank, Consumer Cards)
• Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis
• High proficiency with data extraction and manipulation with SQL and Python. Working knowledge of Hive, Spark, AWS Sagemaker
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred
• Proven expertise in fraud rule development and strategy implementation with LexisNexis fraud solutions or comparable solutions (e.g., Actimize, etc)
• Strong verbal and written communication skills, especially in client-facing or cross-functional settings