Senior Fraud and Risk Analyst

Intuit Quick Books is redefining financial services for small and mid‑sized businesses through its industry‑leading money movement platform. As we continue to scale Payments, Banking, Bill Pay, and next‑generation fintech capabilities, preventing fraud while preserving seamless customer experiences is mission‑critical.

We are expanding our Fraud Policy team to support this growth and are seeking a Senior Staff Risk Policy Leader to shape the strategic direction of fraud risk mitigation across Intuit’s money movement ecosystem. This role sits at the intersection of Fraud, Product, Data Science, Engineering, Risk Operations, and Compliance, with accountability for driving end‑to‑end fraud risk strategies that protect Intuit, empower our customers, and enable responsible growth—particularly for Mid‑Market and Strategic/Enterprise customers.

As a Senior Staff leader, you will operate with a high degree of autonomy and ambiguity, setting vision, influencing executive stakeholders, and leading complex, cross‑functional initiatives that scale across products and customer segments. You will play a critical role in evolving our AI‑driven fraud prevention capabilities while ensuring policies balance loss prevention, customer trust, regulatory expectations, and long‑term business outcomes.

This is a high‑impact opportunity to define how fraud risk is managed at scale across Intuit’s fintech platform—directly contributing to trust, growth, and the financial well‑being of millions of businesses.

• Own and set the strategic direction for fraud risk policy across Payments, Banking, Bill Pay, and emerging money movement products, with an enterprise‑wide mindset and long‑term view of platform scalability.

• Lead fraud risk strategy for key customer segments, including Mid‑Market and Strategic/Enterprise customers, ensuring policies appropriately balance risk tolerance, customer experience, and revenue growth.

• Drive ambiguous, cross‑functional initiatives end to end, aligning Product, Data Science, Engineering, Risk Operations, Compliance, and Legal partners to deliver durable, scalable fraud mitigation solutions.

• Serve as the fraud risk authority for major business initiatives, influencing roadmap decisions, launch readiness, and go‑to‑market strategies with senior and executive stakeholders.

• Translate complex fraud trends and data insights into clear strategic recommendations, enabling leadership to make informed trade‑offs across loss, growth, and customer impact.

• Partner deeply with Data Science to evolve AI/ML‑driven fraud detection frameworks, including scorecards, rules, experimentation strategies, and loss forecasting methodologies.

• Anticipate emerging fraud vectors and ecosystem risks, proactively shaping policies and controls ahead of product expansion, new customer use cases, and regulatory changes.

• Drive alignment across fragmented or competing priorities, building consensus and influencing without authority in a matrixed organization.

• Mentor and raise the bar for fraud policy practitioners across the organization, setting standards for analytical rigor, strategic thinking, and operational excellence.

• Act decisively during periods of elevated fraud activity, providing calm, data‑driven leadership in high‑pressure situations.

• 7–10+ years of deep expertise in fraud risk management, preferably within fintech, payments, banking, or money movement platforms, with demonstrated ownership of complex, high‑impact initiatives.

• Proven experience leading fraud risk strategy at scale, including policy design, float risk mitigation, scorecard modeling, loss forecasting, disputes, and collections.

• Strong track record of partnering with Product, Engineering, and Data Science to influence system design and embed fraud controls directly into platform architecture.

• Advanced analytical capabilities with hands‑on experience leveraging large datasets and modern analytics tools (e.g., SQL, Python, Hive, Hadoop) to inform policy and strategy.

• Demonstrated ability to operate effectively in ambiguity, setting direction where problems are not well‑defined and aligning teams around a shared vision.

• Exceptional…