Fraud and Risk Analyst

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 visualise 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 is 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 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 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.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location.

To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $  -