Job Description

Staff Fraud & Risk Analyst

Intuit is seeking a highly motivated, passionate and technically skilled professional to join our Trust and Safety team as a Staff Fraud & Risk Analyst. In this role, you will have the opportunity to blend your expertise in automation, data analysis, and fraud prevention to protect sensitive information, mitigate risk, and enhance Intuit's enterprise security posture. You will collaborate closely with product managers, engineers, and data scientists to deliver advanced, data-driven solutions that safeguard our customers, partners, and business from fraud and abuse.

The ideal candidate has a strong technical background, including experience writing advanced database queries, developing automation scripts, and creating dynamic data visualizations. You will conduct detailed investigations into suspicious activity involving fraud, providing immediate remediation actions, recommending longer-term prevention controls, and preparing comprehensive reports on fraud analysis.

In addition, you will cultivate a deep understanding of Intuit's Tax, Credit Karma, and consumer products, and leverage industry best practices and cutting-edge AI technologies to tackle large-scale fraud challenges such as identity theft, account takeover, and product abuse, particularly in the tax preparation industry. Your efforts will play a vital role in strengthening Intuit's security stance, ensuring the protection and trust of our customers.

Responsibilities

• Proactively identify areas for improvement in fraud detection, investigation, and prevention processes, making recommendations and driving projects to reduce risk, streamline investigations and elevate operational performance.
• Collaborate with cross-functional teams, including security, compliance, data scientists, engineers, product managers, and legal stakeholders, to understand, document, and assess fraud exposure while developing proactive fraud prevention strategies and solutions.
• Conduct thorough investigations into suspicious activities and fraud cases, analyzing transaction data, customer behavior, and system activity to identify patterns of misuse, such as identity theft, account takeover, and product abuse, and ensure clear and actionable resolutions.
• Define and monitor key fraud indicators, alerts, and metrics using data analysis and visualization tools (e.g., SQL, Tableau, Splunk, spreadsheets) to identify elevated risks, uncover trends, and measure the program's effectiveness.
• Leverage AI tools and industry best practices to innovate fraud prevention processes, optimize problem-solving methods, and drive solutions in a dynamic environment.
• Stay informed of current fraud schemes, vulnerabilities, threats, and cutting-edge technologies, applying this knowledge to improve overall risk management efforts.
• Serve as a subject matter expert on fraud and risk across the organization, mentoring junior analysts, teaching best practices, and effectively communicating findings and recommendations to senior leadership.
• Participate in the on-call rotation to ensure consistent monitoring and timely responses to fraud incidents and alerts.
• Lead initiatives to document, analyze, and optimize complex fraud analyses, data flows, and business processes to mitigate threats and drive meaningful change.

Qualifications

• 6+ years of direct fraud prevention experience in an enterprise environment (preferred).
• Exceptional analytical abilities, including advanced skills in SQL, data analysis and visualization tools.
• Clear written and verbal communication skills to explain findings to both technical and non-technical stakeholders, present to executive leadership and influence decisions.
• Ability to analyze large data sets to identify trends, patterns, or irregularities and connect seemingly unrelated information to develop a fraud hypothesis.
• Detail-oriented with excellent organizational skills, accountability, empathy, and the ability to think critically and analytically.
• Experience defining and documenting fraud prevention strategies, operations, and reporting requirements.
• Team player with a proven ability to collaborate across organizational boundaries and drive decisions and results through building effective relationships.
• Familiarity with fraud detection methods and tools and understanding of common fraud schemes.
• Exceptional focus on accuracy and ability to catch minor abnormalities in data or processes.
• Proven experience in driving complex projects from end to end with multiple dependencies and stakeholders.
• Bachelor's degree in a technical field such as cybersecurity, computer science, or a similar discipline (preferred but not required).

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. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 172,000- 232,500

Job Tags

Similar Jobs