Overview
Intuit is seeking a highly motivated, passionate and technically skilled professional to join our Trust and Safety team as a Senior 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 & research 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 various products such as QuickBooks, Tax, Credit Karma, Mailchimp and leverage industry best practices and cutting-edge AI technologies to tackle large-scale fraud challenges such as identity theft, account takeover, and related product abuse. 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 policy recommendations and driving projects to reduce risk to support the business.
- Collaborate with cross-functional teams, including security, compliance, data scientists, engineers, product managers, and legal stakeholders, to understand, document, and assess fraud exposure and risks while developing proactive fraud prevention strategies and mitigation 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.
- Innovate by creating hypothesis and running experiments to prove their value while introducing new capabilities
- Use data analysis and visualization tools (e.g., SQL, Databricks, Tableau, Splunk, Python, spreadsheets etc.) to identify risks, emerging trends, develop and measure controls effectiveness and customer impact.
- 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, accelerating the team, teaching best practices, and effectively communicating findings and recommendations to senior leadership for your fraud and risk domain.
- 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
- 4+ years of direct fraud prevention experience in e-commerce, payments or financial services in fraud management in an enterprise environment (preferred)
- Exceptional analytical abilities, including advanced skills in SQL, data analysis and visualization tools. Machine learning techniques - Advantage
- Ability to analyze large data sets to identify trends, patterns, or irregularities and connect seemingly unrelated information to develop a fraud hypothesis.
- Clear written and verbal communication skills to explain findings to both technical and non-technical stakeholders, present to executive leadership and influence decisions.
- 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.
- Strong business acumen with a passion to innovate and think “outside the box”.
- Team player with a proven ability to collaborate across organizational boundaries and drive decisions and results through building effective relationships.
- Familiarity with fraud MOs, detection methods and tools and understanding of common fraud schemes.
- Exceptional focus and a keen eye for details on accuracy 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 or STEM field such as cybersecurity, computer science, MS Degree preferred or equivalent relevant experience
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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:
New York $ 140,500- 190,000
