Senior Fraud & Risk Analyst: Data-Driven & ML-Enabled

LatentView Analytics Ltd.; Mountain View (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Intuit QuickBooks is seeking a Senior Fraud and Risk Analyst to join our Risk, Decision & Intelligence team in Mountain View, CA. In this hybrid role, you will conduct deep-dive risk analyses, forecast metrics, and collaborate with cross-functional partners to implement policy-driven controls that protect merchants without harming growth.

You will leverage SQL, Python, and ML-enabled insights, working with Tableau, Cursor, and Claude to detect anomalies and integrate model outputs into risk

Qualifications

• 3-5 years of fraud analytics, risk strategy, or payment risk management within fintech, banking, or payments.
• Strong SQL and foundational Python skills are required.
• Direct experience with Account Takeover (ATO) prevention in money movement products is highly preferred.

Responsibilities

• 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.

Skills

SQL

Python

Fraud analytics

Risk management

Cross-functional collaboration

Communication

Tools

Tableau

Cursor

Claude

Job description

Intuit QuickBooks is seeking a Senior Fraud and Risk Analyst to join our Risk, Decision & Intelligence team in Mountain View, CA. In this hybrid role, you will conduct deep-dive risk analyses, forecast metrics, and collaborate with cross-functional partners to implement policy-driven controls that protect merchants without harming growth.

You will leverage SQL, Python, and ML-enabled insights, working with Tableau, Cursor, and Claude to detect anomalies and integrate model outputs into risk