Senior Fraud Risk Analyst: AI-Driven Strategy & Controls

Intuit, Inc.; San Diego (CA); On-site; USD 163,000 - 221,000; Full time

Job summary

Intuit, Inc. in San Diego is seeking a Staff Fraud Risk Analyst to protect customers and partners by applying data science, AI, and risk management.

You will collaborate with product managers, engineers, and data scientists to fight fraud across the Credit Karma perimeter and Marketplace. You will lead multi-quarter initiatives, own fraud and risk cases for launches, build scalable controls, track KPIs, and mentor analysts while advancing your technical and analytical leadership in a fast-paced

Qualifications

• 8+ years in fraud prevention, risk, or a similar analytical role with strong business acumen.
• Advanced SQL and Python skills for profiling, segmentation, and aggregation on large datasets (BigQuery/Databricks preferred).
• Proven ability to find fraud patterns and risk in large datasets, and to use statistical analysis to justify policy recommendations.
• Experience in identity, authentication, or account-lifecycle fraud (ATO, account creation abuse, recovery abuse) and/or marketplace, lead, or partner fraud preferred.
• Hands-on experience applying AI/GenAI to fraud detection or analytics workflows.
• Experience with fraud KPIs (precision, recall, chargeback, customer insult rate) and data visualization tools (Tableau, Looker, Excel, GSheets).
• Decisive judgment and ownership of outcomes in fast-moving cases, with a fraud and risk mindset and deep familiarity with the product surface being protected.
• Outstanding communication and influencing skills, with a record of driving decisions across org boundaries.
• Bachelor's degree in a quantitative field; Master's degree preferred.

Responsibilities

• Lead multi-quarter initiatives to understand fraudulent behavior across the Credit Karma perimeter and Marketplace, identify risk trends in the data, and turn them into policy and product recommendations.
• Become a subject matter expert for Credit Karma perimeter and Marketplace fraud, and own the fraud and risk case for launches, experiments, and roadmap tradeoffs.
• Make fast, well-reasoned calls on high-risk cases, and own the outcome through resolution, including post-incident learnings.
• Partner with product, engineering, data science, and investigations to build intelligent, scalable controls that balance fraud loss against member experience.
• Identify gaps in metrics and data, and own scalable fixes. Define and track KPIs such as fraud rate, precision and recall, customer insult rate, and ATO and fake-account rates. Build dashboards that show the impact of fraud and of the policies meant to stop it.
• Use AI and GenAI tools to speed up analysis, find new fraud patterns, and automate manual fraud workflows.
• Advocate for curated, standardized, centralized fraud datasets for Intuit-wide analysis.
• Use SQL, Python, Databricks, Tableau, and spreadsheets to analyze large datasets and guide policy decisions.
• Document and explain complex analyses and processes to leadership, and build alignment across technical and non-technical teams.
• Mentor and coach analysts, and raise the team's technical and analytical bar.

Skills

Advanced SQL

Python

Databricks

Data Visualization

Tableau

GenAI

KPI analytics

Communication

Leadership

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

BigQuery

Excel

GSheets

Looker

Job description

Intuit, Inc. in San Diego is seeking a Staff Fraud Risk Analyst to protect customers and partners by applying data science, AI, and risk management.

You will collaborate with product managers, engineers, and data scientists to fight fraud across the Credit Karma perimeter and Marketplace. You will lead multi-quarter initiatives, own fraud and risk cases for launches, build scalable controls, track KPIs, and mentor analysts while advancing your technical and analytical leadership in a fast-paced