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Analytics Tech Lead, Fraud & Risk

Category Security, Risk & Fraud Location Petah Tikva, Israel Job ID 2025-69167
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

If you are passionate about cybersecurity and eager to address the challenges posed by the Generative AI revolution, this is the perfect role for you!

Join Intuit's Cybersecurity organization as a Senior Staff-level Fraud and Risk Analyst. This role is pivotal in overseeing risk management, policy implementation, and incident handling across diverse security domains.

This role offers an exceptional opportunity to be at the forefront of cybersecurity and risk assessment at a leading financial technology company. You will be working in a dynamic and challenging environment where your contributions have a direct impact on organizational security and integrity.

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

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 abilities

Experience and Skills

  • At least 7 years of hands-on experience as a Data Analyst utilizing Python and SQL
  • At least 5 years of experience in Security or Fraud Risk Management, preferably within the fintech or e-commerce sectors
  • Proficiency with Data Analysis and Business Intelligence tools
  • BSc/MSc degree in math, computer science, or a related field (or equivalent experience)
  • Previous experience with API Security or Generative AI Security is an advantage
  • Prior managerial experience is an advantage
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