Fraud Analytics and Innovation Senior Analyst - Digital Fraud Strategies
$100,000–$133,600 year
HybridChicago, Illinois, United States or Charlotte, North Carolina, United States
Job Summary
Conduct complex analysis and modeling to minimize fraud loss exposure and negative impacts on the customer experience. Utilize systems including SAS, SQL, Tableau, and relational databases to evaluate data for potential fraud risk, create mitigation strategies, and develop and validate fraud variables. Lead project management for network mandates and product team support, providing fraud requirements, testing, and strategy development. Perform defect reviews of third-party fraud cases to identify gaps in strategy or procedural adjustments, while tracking strategy performance and optimizing rules on a recurring basis. Recommend ways to help the business achieve desired outcomes using data analysis outputs to inform critical decisions.
Required Qualifications
- 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred)
- Proficient in SAS/SQL and Excel
- Strong quantitative, critical thinking, and analytical skills
- Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
- Ability to work independently as well as part of a virtual team
- Innovative mindset with the ability to challenge the status quo
- Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
- Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
- Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
- Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
- Proven strong analytical and communication skills
- Business Analytics
- Business Intelligence
- Data Quality Management
- Fraud Management
- Monitoring, Surveillance, and Testing
- Collaboration
- Data Visualization
- Oral Communications
- Problem Solving
- Written Communications
- Analytical Thinking
- Critical Thinking
- Data and Trend Analysis
- Innovative Thinking
- Research
Desired Qualifications
- Good working experience with Tableau and Python is a plus
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