QUALIFICATIONS:

• Strong data analysis and business acumen, with an emphasis on data-driven decision-making.
• Comfortable navigating tech-savvy domains.
• Demonstrated independence and proactive leadership in managing cross-functional projects which include collaboration with Data Science, Development, Product, and Security experts’ teams.
• Excellent interpersonal, communication, and presentation skills, with the ability to foster decisions and drive project delivery through collaborative relationships across the organization.
• A meticulous attention to detail, high-level accuracy, and robust critical-thinking capabilities.

EXPERIENCE AND SKILLS:

• At least 5 years of experience in Security or Fraud Risk Management, preferably within the fintech/ecommerce sectors.
• At least 6 years of hands-on experience as a Data Analyst utilizing Python and/or SQL is mandatory.
• Bachelor or Masters Degree in Math, computer science or a related field.
• Proficiency with Data Analysis/Business Intelligence tools is mandatory.
• Previous experience with API and/or Generative AI security is beneficial.
• Prior managerial experience is advantageous.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:Bay Area California $188,000.00 - 254,000This position will 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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

RESPONSIBILITIES:

• Play an integral role in a new risk management initiative across Generative AI Security, API Security, and Data Security. Help design and build our policy and investigation strategy - the necessary skills, key business processes and tools required for timely and effective responses in a rapidly changing environment.
• Continuously evaluate the risk landscape by assessing the efficacy of Intuit’s AI models and risk controls through data analysis, business insights, and expert human judgment.
• Monitor and report performance metrics, offering executives and stakeholders critical insights on trends that could potentially affect Intuit’s risk controls, and alert them to new threats.
• Conduct thorough investigations into suspicious signals, anomalies, and attacks related to Security risks around Generative AI, API and Data.