Staff Fraud & Risk Analyst - Risk Data Intelligence, Fintech

Intuit, Inc.; New York (NY); On-site; USD 169,000 - 228,000; Full time

Job summary

Intuit, Inc. is seeking a Staff Fraud & Risk Analyst as part of our Risk Data Intelligence team within the Global Solutions Business Group. You will translate large datasets into actionable insights for fraud, policy, and risk strategies, and collaborate across Fraud, Data Science, Compliance, Marketing, Product, and Finance.

You will design dashboards, run experiments, and define KPIs with cross-functional partners to drive measurable improvements and risk-aware decision making.

Qualifications

• 6+ years of analytics, data science, or decision strategy experience.
• Strong SQL and Python for data exploration and automation.
• Experience building dashboards for monitoring and decision support.
• Experience with A/B testing and experimentation.
• Excellent written and verbal communication; ability to influence stakeholders.
• Ability to lead cross-functional initiatives and align teams.

Responsibilities

• Communicate insights clearly to senior leadership with concise storytelling and exec-ready deliverables.
• Develop intuitive dashboards and visualizations guiding strategic decisions.
• Lead design and interpretation of experiments (A/B tests) to evaluate initiatives.
• Partner with cross-functional leaders to scale analytics strategies.
• Analyze large-scale transactional data to uncover trends and inform risk strategies.
• Forecast performance against goals and flag variance early.
• Support the Decision Intelligence framework by translating insights into recorded decisions.
• Translate questions into structured analytical approaches using data and domain knowledge.
• Investigate root causes of performance gaps and recommend data-driven actions.
• Build and maintain clean data pipelines to enable accurate experimentation.

Skills

Analytics leadership

Cross-functional collaboration

Communication

KPIs/OKRs definition

Education

Bachelor's Degree in quantitative field

Tools

SQL

Python

Quicksight

Tableau

Qlik

Job description

One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With Quickbooks, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.

We are seeking a Staff Fraud & Risk Analyst as part of our growing Risk Data Intelligence (RDI) team within Intuit’s Global Solutions Business Group (GSBG).
The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Global Solutions Business Group’s short and long-term business outcomes.

We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. RDI operates across three connected pillars — Analytics (forecast & report against organization goal), Insights (opportunity-finding and deep-dive analysis spanning all risk domains), and Alerts (near-real-time anomaly detection, increasingly powered by GenAI) — with a Decision Intelligence layer above all three that turns findings into forced, recorded decisions.

Responsibilities

• Communicate insights clearly and persuasively to diverse audiences, including senior leadership, through concise storytelling and executive-ready deliverables.

• Define and drive the development of intuitive, high-impact dashboards and visualizations that guide strategic and operational decisions across the organization.
• Lead the design, execution, and interpretation of experiments (e.g. A/B testing) to evaluate business initiatives and optimize product or operational performance.
• Partner with cross-functional leaders to shape analytics strategies that 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 the design of new risk-adjusted approaches.
• Forecast performance against committed organization goals and their key drivers, flag emerging variance early, and drive the decomposition and resolution of gaps against those commitments.
• Support the Decision Intelligence framework by helping convert flagged anomalies and insights into recorded decisions with clear ownership, so findings result in action rather than just visibility.
• Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and strategic reasoning.
• Investigate root causes of performance gaps or anomalous behaviors, and recommend timely, data-driven corrective actions to stabilize outcomes.
• Build and maintain clean, reliable data pipelines while proactively addressing gaps in data quality, availability, and structure to enable accurate experimentation and monitoring.

Qualifications

• 6+ years of experience in analytics, data science, or decision strategy roles, with a proven track record of driving measurable impact in complex, cross-functional environments. Experience in Financial Services or Fintech preferred.

• Deep proficiency in SQL and working knowledge of Python for data exploration, transformation, and automation of analytics workflows.
• Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
• Solid comprehension of A/B testing and experimentation principles; experience designing tests and interpreting results to guide decisions.
• Proven track record of influencing cross-functional team decisions through data-driven recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
• Demonstrated ability to lead cross-functional initiatives and align stakeholders across many teams through analytics.
• Skilled at ability to define, operationalize, and evolve KPIs or OKRs in partnership with cross-functional teams.
• Comfort operating in a decision-intelligence model — tiering rigor by stakes, driving flagged issues to a recorded decision, and holding cross-functional partners accountable to committed forecasts.
• Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

New York $168,500 - $228,000