Intuit’s Money Risk team needs to protect customers, partners, and the business from fraud and abuse by leveraging data, technology, and people to deliver insights and intelligent solutions.
Requirements
- 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 (Oracle, SQL Server, MySQL, Vertica) preferred.
- Good working experience with data analytics and visualization tools (Excel, Python, Tableau, QlikView, etc.).
- Use SQL, Python, Tableau, and spreadsheets to quickly analyze, manipulate and visualize small to large datasets to guide fraud and risk policy
Responsibilities
- Translate business questions into verifiable hypotheses, create experiments to test them, and generate recommendations based on the findings
- Leverage data to understand fraudulent/financial risk behavior, identify trends that indicate elevated risk, and to inform policy decisions.
- Deliver accurate metrics related to risk activity, policy rules, and operating effectiveness via dashboards using disparate data sources and systems.
- Curate and standardize risk-related datasets used as the foundation for all Intuit-wide fraud
- Use SQL, Python, Tableau, and spreadsheets to quickly analyze, manipulate and visualize small to large datasets to guide fraud and risk policy
- Create clear concise diagrams to document data flows and business processes.
- Vigorously validate the integrity and quality of data required for performing analysis.
Other
- Strong business acumen and exceptional analytical ability with 1-2 years of relevant experience. Experience in Fraud Prevention or Risk preferred.
- 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.
- Working toward a Bachelor’s Degree in Quantitative Field or commensurate experience. Master’s degree preferred.
- Work assignments that are critical to the business with written goals
