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Intuit

Tax, accounting, and personal-finance software

Senior Fraud & Risk Analyst - Risk Data Intelligence, Fintech

Data Science +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 3 years of experience in analytics, data science, or decision strategy.
  • Advanced SQL and working knowledge of Python for data exploration, transformation, segmentation, and analytics workflow automation.
  • Proficiency in data visualization tools such as QuickSight, Tableau, or Qlik, and experience building dashboards for monitoring and decision support.
  • Solid understanding of statistical analysis and experimentation, including A/B and multivariate testing, and experience designing tests and interpreting results to guide decisions.
  • A proven track record of influencing cross-functional decisions through data-driven recommendations.
  • Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
  • A high degree of ownership, accountability, and empathy in cross-functional settings.
  • Experience defining, tracking, and operationalizing KPI or OKR metrics with partners.
  • A bachelor's degree in Economics, Science, Math, or another quantitative field, or commensurate experience.

Responsibilities

  • Communicate insights clearly and concisely to technical and non-technical audiences, including leadership, through structured storytelling and executive-ready deliverables.
  • Develop compelling, intuitive dashboards and visualizations that monitor performance, surface opportunities, and support timely strategic and operational decisions.
  • Design, execute, and interpret data-driven tests and experiments, including A/B tests, to evaluate business initiatives and compare performance against goals.
  • Partner with stakeholders and analysts so analytical solutions are scalable, repeatable, and aligned with team and company goals.
  • Perform deep analysis on large-scale transactional and behavioral data to uncover trends, diagnose anomalies, and inform fraud, credit, or policy strategies, including new risk-adjusted approaches.
  • Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and business judgment.
  • Investigate root causes of performance gaps or anomalous risk behaviors, and recommend timely, data-driven corrective actions.
  • Identify and address gaps in data quality, availability, or structure that limit measurement, experimentation, or insight generation.
  • Build and maintain clean, reliable data pipelines to support monitoring and experimentation at scale.

Desired Qualifications

  • Experience in financial services or fintech.

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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