Fraud and Risk Analyst

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Intuit’s Trust and Safety team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse. The team is looking for a Staff Fraud Risk Analyst who is passionate about data and excited to partner with product managers, engineers, and data scientists to deliver fresh insights and intelligent solutions to fight fraud. This individual will cultivate a deep understanding of our Tax, Credit Karma, and consumer products and apply industry best practices and cutting‑edge AI technology to solve large‑scale fraud challenges like identity theft, account takeover, and product abuse, especially within the tax preparation industry.

• Lead initiatives to understand fraudulent behavior, identify trends in the data that indicate elevated risk, and create policy recommendations/solutions.
• Drive change by proactively identifying ways to improve existing processes and suggest projects that address key issues while providing an awesome customer experience.
• Proactively leverage AI tools to innovate and optimize fraud prevention processes and problem‑solving in a dynamic environment.
• Partner with fraud investigation teams, policy makers, product managers, and data scientists to deliver data insights and analysis that inform critical decisions and help us reach our goals.
• Effectively design, document, and communicate complex analyses, data flows, and business processes.
• Design metrics and dashboards to effectively measure the impact of fraudulent activity and the policies designed to mitigate them.
• Advocate for the curation, standardization, and centralization of fraud‑related datasets that form the foundation for all Intuit‑wide fraud analysis.
• Be the subject matter expert across the organization for your fraud and risk domain.
• Use SQL, Python, Tableau, Databricks, and spreadsheets to quickly analyze, manipulate, and visualize datasets to guide fraud and risk policy discussions.
• Teach best practices and mentor analysts within the organization.

• Strong business acumen and exceptional analytical ability with 8+ years of relevant experience.
• Experience in Fraud Prevention or Risk preferred.
• Advanced SQL and coding skills to perform data, profiling, segmentation and aggregation.
• Experience with statistical analysis in support of justifying policy recommendations preferred.
• Significant experience with relational databases (Hive) preferred.
• Significant experience with data analytics and visualization tools (Excel, GSheets, Python, Tableau, etc.).
• Outstanding communication skills with the ability to negotiate, prioritize across technical and non‑technical teams, influence decision makers, and build consensus.
• Detail‑oriented with a high degree of accountability, organization, and empathy.
• Experience working with Key Performance Indicator metrics such as fraud prevention, chargeback, precision, recall, and customer insult rates preferred.
• Team player: effectively drive decisions and delivery across organizational boundaries through collaboration and effective relationships.
• Bachelor’s Degree in a Quantitative Field or commensurate experience. Master’s degree preferred.

Bay Area, California: $ – $

Mid‑Senior level

Full‑time

Finance and Sales

Software Development