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
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