Senior Fraud and Risk Analyst

Job Title:

Senior Fraud and Risk Analyst

Location:

Mountain View, CA (Hybrid)

Intuit Quick Books is leading the charge in powering prosperity for small and mid-size businesses with its groundbreaking money movement platform. Our deep commitment to preventing fraud across Quick Books Payments starts with the Risk Policy team, which utilizes cutting-edge analytics and vendor intelligence to stop fraud while minimizing its impact on good customers.

We partner cross-functionally with Risk Operations, Data Science, Product Development, and Customer Experience teams to design and implement fraud controls that protect merchants and their customers — without creating unnecessary friction that drives customer churn.

This role is uniquely positioned at the intersection of fraud prevention and customer retention. The decisions you make directly influence whether a legitimate merchant can process payments seamlessly, grow their business on our platform, and remain a loyal Quick Books customer. We need someone who understands that every risk control has a customer experience trade-off, and who is passionate about solving real customer problems while keeping fraud at bay.

If you thrive on balancing business growth with risk mitigation and want to join a team where your analytical decisions directly impact millions of small business owners, we welcome you to our talented team. We are looking for a Data Analytics professional to join our Risk, Decision & Intelligence (RDI) team, driving data-informed decisions across our Analytics, Insights, and GenAI-powered Alerts pillars.

• 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.

Updated Date

12-10-2026

J_6200

Location Mountain View, California, United States