Staff Fraud and Risk Analyst - Neobanking

Intuit

Quick summary

Work type
On-site
Location
New York, NYMountain View, CA
Posted
2 days ago

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How this pay compares to similar roles

Similar $184k
$137k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $146,130–$222,000.

Based on 239 similar postings.

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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 122 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 108 roles with salary data.

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At a glance

TL;DR · Staff Fraud and Risk Analyst - Neobanking

As a Senior Fraud and Risk Analyst at Intuit’s expanding Fraud Policy team, you will collaborate with cross-functional teams including Data Science, Product, Engineering, and Compliance to design and implement advanced fraud mitigation strategies for innovative consumer lending and banking products. Your day-to-day responsibilities include developing risk policies, managing fraud-related business initiatives, and leveraging cutting-edge AI technology to detect and prevent fraud while minimizing impact on legitimate customers. You will use statistical analysis tools like SQL, Python, R, and big data technologies such as Hive and Hadoop to mine massive datasets for actionable insights. This role requires expertise in financial analytics, innovative risk strategies, and a deep understanding of the fintech and neobanking landscape, enabling Intuit’s growth and trust-based consumer experiences.

What you'll do

  • Develop and optimize fraud risk strategies using advanced analytical techniques on large datasets.
  • Lead the full cycle of risk strategy work from identification to performance monitoring.
  • Build expertise in various risks associated with money movement products to balance growth and security.
  • Collaborate closely with data scientists, product teams, and analytics experts to develop innovative risk solutions.
  • Recommend third-party data providers to mitigate specific fraud types like stolen identities and ATO attacks.
  • Design and monitor tests for new risk methodologies and key metric estimations.

What we're looking for

  • 4+ years of experience in quantitative fields like Statistics, Mathematics, Finance, or Data Science
  • Experience with Fintech, NeoBanking, Crypto, or Money Movement space preferred
  • Strong knowledge of risk policy for consumer loans and line of credit including fraud detection
  • Proficient in statistical analysis tools (SQL, Excel, Python, R) and data visualization
  • Ability to design experiments and use data-driven insights to solve business problems
  • Polished partnership and communication skills for cross-functional collaboration
  • Thrives in fast-paced environments with responsiveness during peak fraud activity

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