Senior Staff Fraud and Risk Analyst - Fintech

Intuit

Quick summary

Work type
On-site
Location
New York, NY · Mountain View, CA
Salary
$199,500–$270,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $235k
$124k most similar roles pay here $286k

This role pays more than 79% of similar roles. Most pay $139,625–$222,000 — the shaded band above. At the midpoint, this role pays about $235k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 120 open roles on FindRole.

Listed pay typically runs $200,500–$271,500 across 110 roles with salary data.

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At a glance

TL;DR · Senior Staff Fraud and Risk Analyst - Fintech

Join the QuickBooks Risk Management team as a Senior Staff Fraud and Risk Analyst, leveraging advanced analytics and AI tools to protect small businesses across Payments, Payroll, Bill Pay, and Capital. You will build automated risk dashboards, develop policy impact frameworks, execute experiments, and create loss forecasting systems tailored to each product’s unique risks. Responsibilities include enabling self-serve analytics with AI-assisted query tools and ensuring responsible AI usage through internal playbooks. Ideal candidates have over 10 years of experience in financial services or fintech, expert SQL and Python/R skills, and a strong background in AI/ML tools. Familiarity with BI platforms and regulatory requirements is preferred. This role accelerates insights for decision-makers, driving growth while minimizing friction for good customers.

What you'll do

  • Build and maintain automated risk dashboards for multiple QuickBooks products.
  • Develop frameworks to quantify policy impact across different product lines.
  • Design and execute experiments to test new risk mitigation strategies.
  • Create loss forecasting systems tailored to each product's unique risks.
  • Optimize approval and intervention strategies using simulation techniques.
  • Enable self-service analytics with AI-assisted query tools for product teams.
  • Ensure responsible use of AI in risk decisions through internal playbooks.

What we're looking for

  • 10+ years of experience in analytics or quantitative risk roles within financial services.
  • Expertise in SQL and Python/R for building automated reporting pipelines at scale.
  • Strong business acumen with proven ability to translate analysis into strategic recommendations.
  • Familiarity with AI/ML tools and a track record of applying them to accelerate analytical output.
  • Excellent communication skills, presenting complex findings clearly to various stakeholders.

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