Fraud Policy Lead — AI‑Driven Fintech

Intuit Inc.; United States; On-site; USD 151,000 - 204,000; Full time

Job summary

Intuit Inc. is expanding its Fraud Policy team to safeguard its money movement platform and prevent fraud across fintech products.

As a Risk Policy lead, you will partner with Data Science, Product, Engineering, Risk Operations, and Compliance to shape end-to-end fraud policies and drive strategic alignment. You will own fraud risk aspects of business initiatives, influence stakeholders, and leverage AI technology to detect and prevent fraud while protecting good customers.

Qualifications

• 4+ years of relevant experience and a quantitative bachelor’s degree.
• Fintech and fraud risk experience in consumer lending preferred.
• Knowledge of consumer loans risk policy, fraud detection and identity checks.
• Experience designing experiments and using data-driven insights.
• Proficient in SQL, Excel, Python, R; familiarity with Hive/Hadoop.
• Strong cross-functional partnering and data storytelling to influence decisions.
• Thrives in fast-paced environments during peak fraud activity.

Responsibilities

• Develop fraud risk policy for Payments, Banking, Bill Pay and other fintech products.
• Lead end-to-end fraud policy initiatives and align with cross-functional teams.
• Influence senior stakeholders to drive policy decisions and risk controls.

Skills

Analytical skills

Business acumen

Cross-functional collaboration

Data-driven decision making

Storytelling with data

Communication

Education

Bachelor's in quantitative fields (Statistics/ Math/ Finance/ Data Science/ CS)

Tools

SQL

Excel

Python

R

Hive/Hadoop

Job description

Intuit Inc. is expanding its Fraud Policy team to safeguard its money movement platform and prevent fraud across fintech products.

As a Risk Policy lead, you will partner with Data Science, Product, Engineering, Risk Operations, and Compliance to shape end-to-end fraud policies and drive strategic alignment. You will own fraud risk aspects of business initiatives, influence stakeholders, and leverage AI technology to detect and prevent fraud while protecting good customers.