Senior Analyst – Device and Non-Monetary Fraud Analytics and Innovation

• Create, implement, and maintain rules and capabilities designed to detect account takeover and non-monetary fraud

• Derive actionable insights from complex data

• Investigate and perform root cause analysis of major fraud losses and emerging trends

• Implement incremental fraud mitigation controls with functional stakeholders

• Develop monitoring and oversight for cross-functional processes, including performance reporting and collaboration opportunities

• Work with internal and external partners to understand limitations and improvement opportunities

• Perform complex analysis of financial models, market data, financial data, and portfolio trends

• Use Excel, SAS, SQL, Tableau, and relational databases to provide analytical support on strategies and ensure goals are met

• Evaluate data to assess potential fraud risk and create mitigation strategies

• Propose policy and procedural changes within segmentation structures

• Recommend data-driven actions to help the business achieve desired outcomes

• Lead production of product performance reports and updates for senior management

• 2+ years of fraud experience developing and/or optimizing mitigation strategies
• 2+ years of SQL and/or SAS coding experience
• Ability to identify opportunities for improvement and work autonomously with minimal direction
• Ability to work in a fast-paced, dynamic environment
• Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication
• Understanding of statistical methods for developing performance metrics
• Familiarity with data visualization tools, preferably Tableau
• Functional knowledge of multiple products and/or channels
• Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive
• Familiarity with code automation
• Experience mentoring or leading other teammates
• Excellent communication and presentation skills
• Expertise in building and managing stakeholder relationships and presenting to senior leaders
• Cyber or risk analyst experience developing and/or optimizing mitigation strategies
• This position is not eligible for sponsorship

Demonstrates expertise in fraud detection and mitigation strategies, utilizing advanced analytical skills to derive insights from complex data. Proficient in SQL, SAS, and data visualization tools like Tableau to support decision-making and performance reporting.

• Fraud Mitigation Strategies
• SQL Coding Experience
• SAS Coding Experience
• Data Visualization with Tableau
• Stakeholder Relationship Management

• Fraud Detection
• Root Cause Analysis
• Statistical Methods
• Data Analysis
• Performance Metrics Development
• Financial Modeling
• Risk Assessment
• Code Automation
• Python Coding
• Hadoop Impala/Hive

• Excellent Communication
• Presentation Skills
• Autonomous Work
• Mentoring Experience
• Collaboration

• Online Banking
• Account Takeover
• Fraud Experience
• Claims Background
• Cyber Analyst

• Excel
• SAS
• SQL
• Tableau
• Relational Databases