Strategic Fraud & Risk Data Analytics Lead

Intuit, Inc.; New York (NY); On-site; USD 141,000 - 190,000; Full time

Job summary

Intuit seeks a Senior Fraud & Risk Analyst to join the Risk Data Intelligence team in New York. You will translate complex data into actionable insights, build dashboards, and run experiments to inform fraud, credit, or policy strategies across the organization.

In collaboration with data scientists, policy, product, and finance teams, you will own KPI metrics, design tests, and ensure data quality and scalable pipelines to monitor performance and drive decisions.

Qualifications

• At least 3 years in analytics, data science, or decision strategy, fintech preferred.
• Strong SQL and Python for data exploration, transformation, and automation of analytics workflows.
• Proficiency in data visualization tools and dashboards for monitoring and decision support.

Responsibilities

• Communicate insights clearly to leadership through structured storytelling and executive-ready deliverables.
• Develop dashboards and visualizations that monitor performance and support timely decisions.
• Design, execute, and interpret data-driven tests (A/B tests) to evaluate initiatives.
• Partner with stakeholders to ensure scalable, repeatable analytical solutions.
• Perform deep analysis on large-scale data to inform fraud, credit, or policy strategies.

Skills

Analytical thinking

Business acumen

Communication skills

Cross-functional collaboration

Ownership & accountability

KPI/OKR tracking

SQL

Education

Bachelor’s degree in Economics/Science/Math

Tools

Python

QuickSight

Tableau

Qlik

SQL

Job description

Intuit seeks a Senior Fraud & Risk Analyst to join the Risk Data Intelligence team in New York. You will translate complex data into actionable insights, build dashboards, and run experiments to inform fraud, credit, or policy strategies across the organization.

In collaboration with data scientists, policy, product, and finance teams, you will own KPI metrics, design tests, and ensure data quality and scalable pipelines to monitor performance and drive decisions.