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Responsibilities:
Lead analysis to optimize deployment and efficacy of new authentication tools.
Explore AI solutions and tools to continually improve fraud control economics
Navigate internal governance and regulatory space to deploy AI and other advanced tools in a well-governed manner (model risk management and AI toll gates)
Develop compelling vision and data driven business cases for transformation initiatives. Lead efforts to prioritize authentication and other fraud-related investments across channels (online, call center, in-person).
Facilitate regular routines for stakeholders and senior executives.
Build and lead cross-functional teams to solve complex, high impact business problems.
Builds and maintains strategic relationships with peers and counterparts across product, technology, and business control functions
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights
Required Qualifications:
5+ years of Fraud experience
B.A./B.S in Computer Science, Data Science, Engineering, Business, Statistics or quantitative related field
SQL and/or SAS coding ability
Advanced knowledge of Excel
Excellent communication and presentation skills
Experience analyzing and optimizing complex systems and controls
Experience managing competing priorities
Ability to understand the information needs of business users and senior leaders and build to those specifications with minimal direction
Desired Qualifications:
10+ years of Fraud experience
Experience deploying and using AI-based solutions to drive business value
Experience optimizing deployment and ongoing management of risk mitigation tools
Advanced degree in Computer Science, Data Science, Engineering, Business, Statistics or quantitative related field
Fraud and/or Claims background with focus on Authentication
Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Deposits, Online Retail Merchant, Payment Processing, Digital, Call Center, etc.)
Demonstrated ability to manage cross-functional teams
Skills:
Business Analytics
Analytical Thinking
Data and Trend Analysis
Fraud Management
Problem Solving
Artificial intelligence / Machine Learning
Innovative Thinking
Statistical Design of Experiments and Solution Testing
Presentation Skills
Risk Management
Oral and Written Communications
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