Staff Fraud and Risk Analyst

About Intuit

Intuit is a global platform company on a mission to power prosperity worldwide for consumers, small businesses, and the self-employed. Our leading brands include TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving over 100 million customers. We are recognized for innovation, customer centricity, and as a top place to work. We are expanding our Fraud Policy team to prevent fraud across all consumer lending products, utilizing cutting-edge AI technology. This team detects and prevents fraud while minimizing impact on legitimate customers.

Role Overview

As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering, and Compliance teams to design and implement fraud mitigation risk strategies. If you are passionate about solving customer problems through decision science and analytics, we encourage you to join our talented team.

Responsibilities

• Develop fraud risk policies for innovative consumer lending and banking products, focusing on new money movement features.
• Create end-to-end risk policies and ensure alignment with cross-functional stakeholders.
• Manage fraud risk aspects of business initiatives and respond to fraud-related events.
• Utilize advanced analytical techniques to analyze large-scale account and transactional data to build/optimize fraud risk strategies and policies.
• Translate analytical findings into actionable business plans.
• Lead the full cycle of risk strategy/policy work: identify opportunities, develop and test policies, launch to production, and monitor performance.
• Build subject matter expertise in various risks within money movement offerings to balance risk mitigation and growth.
• Collaborate closely with data scientists, risk operations, product, data engineering, and analytics teams to drive customer segmentation, develop risk strategies, and perform portfolio analyses.
• Test and recommend third-party data providers for identity theft, account takeover (ATO), and other exposure risks.
• Design, implement, and monitor tests to explore new methodologies and estimate key metrics for risk strategies.
• Apply good judgment, creative thinking, and strategic planning to solve complex problems.

Qualifications

• Strong business acumen and exceptional analytical ability.
• 5+ years of relevant experience and a Bachelor's degree in a quantitative field (Statistics, Mathematics, Finance, Data Science), OR MS/PhD with 2+ years of relevant experience.
• Preferred experience in Fintech, NeoBanking, Crypto, or the Money Movement space.
• Working knowledge of risk policy fundamentals for consumer loans and lines of credit, including fraud detection and identity checks.
• Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
• Proficiency in statistical analysis tools such as SQL, Excel, Python, R, and data visualization tools.
• Familiarity with big data technologies (Hive, Hadoop) is preferred.
• Excellent partnership and communication skills, with the ability to interact cross-functionally with business and technical partners.
• Ability to tell compelling data stories to influence stakeholders and build consensus.
• Ability to thrive in a fast-paced environment and remain responsive and decisive during peak fraud activity.
• Passion for data analysis and a strong curiosity for complex business issues, with a proactive approach to identifying opportunities and driving innovation.

Compensation & Benefits

Intuit offers a competitive compensation package with strong pay-for-performance rewards. This position may be eligible for a cash bonus, equity rewards, and benefits. The expected base pay range for this position in New York City is $168,000 - $228,000 annually. Pay is determined by factors such as job-related knowledge, skills, experience, and work location. Key skills/competency: Staff Fraud and Risk Analyst, Fraud Detection, Risk Mitigation, Risk Policy, Consumer Lending, Money Movement, Data Science, Analytics, SQL, Python