Fraud Strategy Associate

📋 Description

• Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and
• Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate
• Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy
• Workflow Architecture: optimize the internal processes for fraud investigations, ensuring
• Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics
• Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven

🎯 Requirements

• 3+ years of experience in fraud strategy, risk operations, or data-driven business operations
• Capable with SQL and/or Python for data wrangling, statistical modeling, and automation.
• Proven ability to build scalable processes and manage complex projects from data exploration
• Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic