Senior Fraud Analytics and Innovation Analyst – Financial Center Fraud Strategy

Responsibilities

• 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
• Utilizes a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met
• Evaluates data to assess potential fraud risk and creating mitigation strategies
• Proposes policy/procedural changes within segmentation structures to produce optimal results
• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
• Leads the coordination of the production of product performance reports and updates for senior management
• Develop and implement comprehensive strategies to identify, prevent, and mitigate deposit fraud activities
• Stay abreast of emerging trends and tactics to ensure the effectiveness of detection strategies
• Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of deposit fraud activity
• Develop predictive models and scoring mechanisms to prioritize potential cases
• Conduct risk assessments to identify vulnerabilities in the organization’s systems and processes that may be exploited by fraudsters
• Develop mitigation strategies to address these risks
• Collaborate with various departments, including compliance, fraud investigations, and operations, to ensure effective coordination and information sharing
• Prepare regular reports including key performance indicators, trends, and recommendations for improvement

• 2+ years SAS/SQL coding experience
• Proficiency in framing problems and developing impactful solutions with minimal oversight
• Intermediate Excel and PowerPoint capability
• Excellent communication and presentation skills
• Ability to interact effectively and build relationships with business partners at all levels
• Experience in managing competing priorities
• Advanced SAS/SQL coding ability (desired)
• Fraud and/or Claims with focus on Deposit Fraud (a plus)
• Understanding of advanced data analytics and modeling techniques
• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)
• Bachelor's/Master's degree in a relevant field (desired)
• Certification in fraud examination or risk management (desired)
• Experience in the financial services industry (desired)
• Familiarity with developing Tableau dashboards (desired)
• Experience presenting to senior leaders (desired)
• Experience with hypothesis testing and/or feature prioritization (desired)