Staff Fraud and Risk Analyst - Fintech

Intuit

Actively hiring Posted this week Verified listing
New York, NY · Mountain View, CA Posted 2 days ago $176,500$238,500 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $208k
$127k most similar roles pay here $250k

This role pays more than 69% of similar roles. Most pay $138,766–$214,850 — the shaded band above. At the midpoint, this role pays about $208k 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

As a Staff Fraud and Risk Analyst at Intuit's Fintech division, you will join a dynamic team responsible for fraud policies across various consumer lending and banking products. Your role involves developing end-to-end risk policies to detect and prevent emerging attacks while balancing the trade-off between loss prevention and user experience. Utilizing advanced analytical techniques and cutting-edge AI technology, you will work closely with data science, engineering, dispute operations, and compliance teams to ensure the ecosystem remains secure without disrupting legitimate users. Key responsibilities include creating fraud risk strategies, managing business initiatives' fraud aspects, and collaborating on innovative risk solutions using tools like SQL, Python, R, and big data technologies such as Hive and Hadoop. This role demands expertise in financial analytics, strong business acumen, and proficiency in designing experiments to solve complex business problems.

What you'll do

  • Develop and optimize fraud risk policies using advanced analytical techniques.
  • Lead the full cycle of risk strategy work from identification to performance monitoring.
  • Build expertise in various money movement risks to balance growth and security.
  • Collaborate with data scientists, engineers, and product teams on innovative strategies.
  • Recommend third-party data providers to mitigate specific types of exposure risk.
  • Design and implement testing methodologies to estimate key metrics for risk strategies.
  • Communicate data-driven insights effectively to influence stakeholders and drive action.

What we're looking for

  • 5+ years of experience in quantitative fields like Statistics, Mathematics, Finance, or Data Science.
  • Strong analytical skills and business acumen with a focus on fraud risk management.
  • Experience designing experiments and using data-driven insights to solve complex business problems.
  • Proficiency in statistical analysis tools (SQL, Excel, Python, R) and big data technologies (Hadoop, Hive).
  • Knowledge of risk policy fundamentals for consumer loans, lines of credit, and fraud detection.
  • Excellent communication skills for cross-functional collaboration and influencing stakeholders.
  • Passion for analyzing data with a proactive approach to identifying business opportunities.

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