Staff Fraud and Risk Analyst, Neobanking

Intuit

High trust

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

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How this pay compares to similar roles

Similar $178k
$132k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $140,528–$214,900.

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 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Staff Fraud and Risk Analyst, Neobanking

Staff Fraud and Risk Analyst - Neobanking joins the Fraud Policy team to design and implement fraud mitigation risk strategies for innovative consumer lending and banking products. This role focuses on developing end-to-end risk policies, specifically targeting fraud detection and prevention for new money movement features. The successful candidate will mine massive scale account and transactional data to build actionable business plans, manage fraud risk aspects of business initiatives, and respond to fraud-related events. Key responsibilities include collaborating with cross-functional teams like Data Science and Engineering to drive customer segmentations and perform portfolio analyses. Required skills include proficiency in SQL, Excel, Python, R, and data visualization tools, along with familiarity with Hive and Hadoop. The role addresses the critical business problem of balancing risk mitigation with growth within a neobanking ecosystem.

What you'll do

  • Mine massive scale account and transactional data to build and optimize fraud risk strategies.
  • Develop end-to-end risk policies for consumer lending, banking products, and money movement features.
  • Manage the full lifecycle of risk policy work from identification and testing to production monitoring.
  • Balance risk mitigation with business growth by developing specialized expertise in various money movement risks.
  • Evaluate and recommend third-party data providers to mitigate stolen identity and account takeover risks.
  • Design and implement testing methodologies to explore new strategies and estimate key performance metrics.
  • Translate complex data into actionable business plans and stories to influence cross-functional stakeholders.

What we're looking for

  • Bachelor's degree in a quantitative field like Statistics, Mathematics, Finance, or Data Science.
  • Master's or PhD degree with at least 2 years of relevant experience.
  • At least 4 years of relevant experience for candidates with a bachelor's degree.
  • Knowledge of risk policy fundamentals for consumer loans and line of credit, including fraud detection and identity checks.
  • Proficiency in SQL, Excel, Python, R, and data visualization tools.
  • Experience designing experiments and using data-driven insights to solve business problems.
  • Preferred experience in Fintech, NeoBanking, Crypto, or Money Movement sectors.
  • Strong communication skills to translate data into stories for cross-functional stakeholders.

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