Senior Fraud and Risk Analyst

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

Job Description

Job Title: Senior Fraud and Risk Analyst

Location: Mountain View, CA (Hybrid)

Job Overview

Intuit QuickBooks 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 QuickBooks 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 QuickBooks 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.

Key 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.

Qualifications

• 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.

Job Snapshot

Updated Date

12-10-2026

Job ID

J_6200

Location

Location Mountain View, California, United States