Sr. Fraud Data Analyst

What you'll be doing

• Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention
• Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools
• Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods
• Find insights from risk data sets to improve fraud strategies and rules
• Participate in regular review of activities involving different fraud topologies
• Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases
• Complete investigation of customers and transactions flagged by the Bank's automated monitoring system(s), manual reports, and/or referrals
• Define, implement, and manage rule rationalization and governance process 

You'll bring the following required skills and experiences

• 5+ years of fraud or risk experience focused on the risk strategy and risk analytics
• Experience working at a FinTech or start-up is a plus
• 3+ years of experience in SQL queries, Tableau (and other BI tools), and day-to-day use of R/Python is a plus
• Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, lending products, and deposit accounts
• Knowledge of fraud management systems such as Falcon, RSM, JackHenry, Iovation, Threat metrics, Verafin, etc
• Deep understanding of the financial fraud space
• Experience creating and optimizing fraud prevention rules and strategies
• Knowledge of a scripting programming language such as Python
• Strong BI and analytics skills and knowledge of tools such as SQL/Athena Rule rationalization and governance 
• Coaching and mentoring other analysts
• Cross-functional stakeholder management, working with engineers, product, operations, and data science