Intuit’s Trust & Safety team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse.
Find out more about this role by reading the information below, then apply to be considered.
The team is looking for a Senior 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
- Translate business questions into verifiable hypotheses, create experiments to test them, and generate recommendations based on the findings.
- Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and to inform policy decisions.
- Proactively identify ways to improve existing processes and suggest projects that address key issues while providing an awesome and delightful customer experience.
- Deliver accurate metrics related to fraud activity, policy rules, and operating effectiveness via dashboards using disparate data sources and systems.
- Curate and standardize fraud-related datasets used as the foundation for all Intuit-wide fraud analysis.
- Use SQL, Python, Tableau, Databricks, and spreadsheets to quickly analyze, manipulate and visualize small to large datasets to guide fraud and risk policy discussions.
- Create clear concise policy requirements and diagrams to document data flows and business processes.
- Vigorously validate the integrity and quality of data required for performing analysis.
- 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.
Minimum Qualifications
- Strong business acumen and exceptional analytical ability with 5+ 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 large datasets and relational databases preferred.
- Hands-on experience with 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.
- Bachelor’s Degree in Quantitative Field or commensurate experience. Master’s degree preferred.
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