$199,500 – $270,000
Listed on Intuit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads fraud prevention strategy across Intuit's lending products, designing detection systems and policies to identify and stop sophisticated fraud schemes while balancing risk with customer experience. It suits someone with deep quantitative expertise in fraud analytics or credit risk who has built detection systems at fintech companies and can translate complex technical work into decisions for senior leadership.
Our summary, not Intuit’s wording. The full posting is on their site.
Skills this role names
- Anomaly Detection
- Apache Hadoop
- Apache Hive
- Databricks
- Feature Engineering
- Machine Learning
- Python
- SQL
- Statistical Modeling
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What they ask for
Required
- Master's or PhD in quantitative field (Statistics, Mathematics, Economics, Operations Research, Finance, or related)
- 7+ years in fraud analytics, credit risk, or data science
- Working knowledge of fraud detection, underwriting, loss forecasting, disputes, collections, and loss reserves
- Experience with ML-based detection and statistical modeling
- Proficiency in SQL and Python on modern data platforms
- Cross-functional partnership and communication skills
- Ability to manage complex projects in fast-paced, ambiguous environment
Nice to have
- Fintech or lending product experience with hands-on fraud strategy ownership
- Experience with third-party fraud and identity vendors
- Active champion for AI and automation adoption