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

• Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven
• Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and
• Operational Mindset: Proven ability to build scalable processes and manage complex projects from
• Communication: Exceptional ability to synthesize complex analytical findings into clear

🎁 Benefits

• Advanced Certification: Certified Fraud Examiner (CFE) designation.
• Experience with Snowflake, Salesforce, and data visualization platforms like Hex.
• Experience managing fraud risk and operational workflows for products spanning multiple geographic
• Experience utilizing AI tools to enhance internal operational efficiency.