Lead Fraud Risk Data Analyst

• Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention.
• Develop data insights and rules to help understand customers’ banking behavior and preferences to drive first party fraud controls and strategy for payment and lending.
• Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, and value.
• 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.
• 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.

• 10+ years of fraud or risk experience focused on the risk strategy and risk analytics in financial services, insurance, and healthcare industries. FinTech or start-up experience is a plus.
• 8+ years of data analytics experience with hands-on SQL and python coding is a plus.
• 3+ years of experience in Tableau (and other BI tools).
• 3+ years of experience analyzing data with statistical approaches with python.
• 1+ years of hands-on use of AWS is a plus.
• Strong knowledge of financial products, including fraud management in lending products, ACH, RDC, P2P, and deposit accounts.
• Knowledge of fraud management systems such as Sentilink, iOvation, Lexisnexis, etc.
• Deep understanding of the financial fraud space.
• Experience creating and optimizing fraud prevention rules and strategies.
• Coaching and mentoring other analysts.
• Cross-functional stakeholder management, working with engineers, product, operations, and data science.

Pay range: $140K - $190K

• Eligible for a bonus, equity, and competitive benefits.