Senior Fraud and Risk Analyst

Join to apply for the Senior Fraud and Risk Analyst role at Intuit
.

One out of every two small businesses fails within the first five years, most often due to running out of cash. Intuit Quick Books is on a mission to provide small businesses with all the tools they need to manage cash flow. We leverage the rich data inside Quick Books to enable super‑fast payments, payroll, bill pay, and access to capital.

With Quick Books, America’s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world. We are seeking a Senior Business Data Analyst in our growing Risk Analytics and Insight team within Intuit’s Global Solutions Business Group (GSBG). The analyst will work across functions—Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.—and

use data to drive insights that help achieve Intuit Global Solutions Business Group’s short- and long-term business outcomes.

• Develop compelling visualizations that crystallize business opportunities for stakeholders and leaders to make timely decisions.
• Design and run data‑driven tests and experiments that identify business opportunities and compare performance against company goals.
• Develop intuitive dashboards and visualizations to monitor performance and inform timely decisions.
• Communicate insights clearly and concisely to both technical and non‑technical stakeholders, including executive leadership.
• Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders.
• Analyze large‑scale transactional data to improve fraud and credit risk mitigation strategies and design new risk‑adjusted policy proposals.
• Investigate root causes of anomalous risk behaviors or performance gaps and recommend timely corrective actions.
• Identify and address gaps in data quality, availability, or structure that limit measurement, experimentation, or insight generation.
• Build and maintain clean, reliable data pipelines to support monitoring and experimentation at scale.

• Strong analytical ability and proven business acumen with at least 3 years of relevant experience; experience in Financial Services or Fintech preferred.
• Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
• Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
• Knowledge of statistical analysis including A/B and multivariate testing.
• Proven track record of influencing cross‑functional team decisions through data‑driven recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
• High degree of ownership, accountability, and empathy in cross‑functional team settings.
• Experience working with Key Performance Indicator (KPI or OKR) metrics.
• Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.

Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. The expected base pay range for this position in New York is $140,500 – $190,000.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Finance and Sales

Referrals increase your chances of interviewing at Intuit by 2×.