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Staff Fraud and Risk Analyst

Category Security, Risk & Fraud Location Mountain View, California Job ID 2025-70419
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

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 suite of Tax products and apply industry best practices around data security and fraud prevention to address large scale problems related to identity theft, account takeover, and product abuse, particularly in the tax preparation industry.

Responsibilities

  • 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.
  • 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

Qualifications

  • 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 is preferred
  • Significant experience with relational databases (Athena, Hive) preferred.
  • Significant experience with data analytics and visualization tools (Excel, GSheets, Python, Tableau, etc).
  • Outstanding communication skills with the ability to deftly negotiate, prioritize across technical and non-technical teams, influence decision makers and build consensus with teams.
  • Detail-oriented with a high degree of accountability, organization and empathy.
  • Experience using version control software like Git preferred but not required
  • 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 Quantitative Field or commensurate experience. Master’s degree preferred.
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