Senior Fraud and Risk Analyst

Job Title: Senior Fraud and Risk Analyst

• Deep-Dive Analysis: Perform comprehensive risk analysis, forecast organizational metrics, and build automated, near-real-time anomaly detection workflows.
• Cross-Functional Collaboration: Partner with cross-functional teams to translate data insights into actionable, trackable decision-making frameworks.
• Machine Learning Integration: Partner with Data Science teams to evaluate and integrate machine learning model outputs into risk policy frameworks, ensuring model-driven decisions are calibrated to protect against fraud without over-penalizing new or growing merchants who represent the platform's future growth.
• Ecosystem Protection: Work across Risk Policy, Compliance, Marketing, Product, and Finance to shape short- and long-term risk strategy.

• Experience: 3-5 years of experience in fraud analytics, risk strategy, or payment risk management within fintech, banking, or payments.
• Technical Stack:
  • Strong SQL and foundational Python skills are required.
  • Direct experience with Account Takeover (ATO) prevention in money movement products is highly preferred.
  • Hands-on familiarity with modern data and AI tools including Tableau, Cursor, and Claude.
• AI & Automation: Experience leveraging AI/ML tools and automation frameworks to accelerate fraud detection, enable faster risk decisioning, identify emerging fraud patterns, and implement scalable, data-driven solutions with speed and efficiency.
• Customer-First Mindset: You instinctively consider how a risk control will feel from the merchant's perspective and advocate for solutions that protect without punishing.
• Communication: Excellent communication skills with the ability to present complex risk trade-offs to both technical and business stakeholders.