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Intuit

Tax, accounting, and personal-finance software

Staff Fraud and Risk Analyst

Risk ManagementPosted on Nov 10
Full-timeIn-person

About the Job

Requirements

  • Strong business acumen and exceptional analytical ability, with at least five years of relevant experience and a bachelor's degree in a quantitative field such as Statistics, Mathematics, Finance, or Data Science; alternatively, a master's or PhD with at least two years of relevant work experience.
  • Working knowledge of consumer loan and line-of-credit risk policy fundamentals, including fraud detection and identity checks.
  • Demonstrated experience designing experiments and using data-driven insights to solve business problems.
  • Proficiency in statistical analysis tools such as SQL, Excel, Python, and R, and data visualization tools.
  • Familiarity with big data technologies such as Hive and Hadoop.
  • Ability to exercise good judgment and think creatively and strategically.
  • Ability to interact cross-functionally with business and technical partners and use data to influence stakeholders and build consensus.
  • Ability to respond decisively during periods of peak fraud activity.

Responsibilities

  • Develop fraud risk policies for consumer lending and banking products, focused on fraud detection and prevention for new money movement products and features.
  • Create end-to-end risk policies and drive alignment with cross-functional stakeholders.
  • Manage fraud risk aspects of business initiatives and respond to fraud-related events and demands.
  • Use advanced analytical techniques to mine large-scale account and transactional data, build and optimize fraud risk strategies and policies, and translate findings into actionable business plans.
  • Lead the full risk strategy and policy lifecycle: identify opportunities and action plans, develop and test policies, launch policies to production, and monitor performance.
  • Build subject matter expertise in risks across money movement offerings to balance risk mitigation and growth in the Intuit ecosystem.
  • Collaborate with data science, 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 to address individual stolen identity, account takeover, and other exposure risks.
  • Design, implement, and monitor tests to explore new methodologies and estimate key metrics for risk strategies.

Desired Qualifications

  • Experience in fintech, payments, neobanking, or consumer lending fraud.
  • Familiarity with big data technologies such as Hive, Hadoop, and related concepts.

About the Company

Intuit

Tax, accounting, and personal-finance software

Intuit provides financial technology tools for consumers and small businesses. Its main products are TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools typically operate on a subscription basis or behind transaction fees, with features that help users file taxes, track income and expenses, and manage budget and goals. The software ecosystem is designed to connect tax, accounting, and personal finance in one place, improving workflows for individuals, freelancers, and small business owners. Security is a priority, with measures like multi-factor authentication and anti-fraud protections to protect user data. Intuit’s goal is to help people achieve financial well-being by educating users and delivering easy-to-use, reliable financial software across different needs and customer segments.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1983

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