Staff Fraud and Risk Analyst - Fintech

Intuit

Quick summary

Work type
On-site
Location
New York, NY · Mountain View, CA
Salary
$150,500–$204,000 / yr
Posted
2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $177k
$129k most similar roles pay here $226k

This role pays more than 50% of similar roles. Most pay $138,766–$214,850 — the shaded band above. At the midpoint, this role pays about $177k versus about $177k 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 116 open roles on FindRole.

Listed pay typically runs $202,000–$273,500 across 106 roles with salary data.

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At a glance

TL;DR · Staff Fraud and Risk Analyst - Fintech

As a Staff Fraud and Risk Analyst at Intuit, you will join the team responsible for fraud policies across consumer lending and banking products. Your role involves developing end-to-end risk policies to detect and prevent emerging attacks while balancing loss prevention with user experience. You’ll work closely with data science, engineering, dispute operations, and compliance teams to leverage cutting-edge AI technology for real-time decisioning. Key responsibilities include analyzing large-scale account and transactional data, creating fraud mitigation strategies, and collaborating on innovative risk solutions. The ideal candidate has a background in quantitative fields like statistics or finance, experience in fintech, payments, or neo-banking, and proficiency with tools such as SQL, Python, R, and big data technologies. This high-impact role demands strong analytical skills, strategic thinking, and the ability to communicate complex insights effectively across various stakeholders.

What you'll do

  • Develop fraud risk policies using advanced analytical techniques to optimize security and user experience.
  • Create data-driven strategies to prevent and mitigate fraud across various money movement products.
  • Collaborate with cross-functional teams to develop innovative risk management solutions and perform portfolio analyses.
  • Design and implement testing methodologies to estimate key metrics for risk strategies and monitor their performance.
  • Recommend third-party data providers to address specific types of exposure risks such as stolen identities and ATO attacks.

What we're looking for

  • 3+ years of experience in quantitative fields like Statistics, Mathematics, Finance, or Data Science.
  • Strong analytical skills and business acumen with experience in Fintech, Payments, NeoBanking, Crypto, or Money Movement.
  • Experience designing risk policies for consumer loans and lines of credit, including fraud detection and identity checks.
  • Proficiency in statistical analysis tools (SQL, Excel, Python, R) and data visualization tools.
  • Ability to design experiments and use data-driven insights to solve business problems effectively.
  • Excellent partnership and communication skills for cross-functional collaboration and influencing stakeholders.
  • Thrives in fast-paced environments with the ability to respond decisively during peak fraud activity.

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