Staff Fraud and Risk Analyst

Intuit

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Quick summary

Work type
On-site
Location
New York, NYMountain View, CA
Salary
$168,500–$228,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $198k
$128k $239k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $145,150–$225,062 — the blue band above. At the midpoint, this role pays about $198k versus about $185k for comparable roles.

Based on 240 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 253 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 233 roles with salary data.

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At a glance

TL;DR · Staff Fraud and Risk Analyst

The Staff Fraud and Risk Analyst - Fintech joins the team responsible for fraud policies across consumer lending and banking product suites. This role involves owning end-to-end policy decisions for money movement rails, including Onboarding risk, Money in Channels, ACH, RTP, OCT, and ATO risk. You will detect emerging attacks, size exposure, design controls in the real-time decisioning stack, and balance loss against member experience. Daily tasks include mining account and transactional data to build risk strategies, designing experiments, and collaborating with data science, engineering, and compliance teams. You will utilize SQL, Excel, Python, R, and data visualization tools, with preferred familiarity in Hive and Hadoop. The work focuses on solving fraud detection, identity checks, and stolen identity risks within the fintech and payments space.

What you'll do

  • Mine massive scale account and transactional data to build and optimize fraud risk strategies.
  • Lead the full cycle of risk policy work from identification and development to production launch and monitoring.
  • Design and implement controls in the real-time decisioning stack to detect emerging attacks.
  • Balance fraud risk mitigation against business growth and member experience goals.
  • Recommend and test third-party data providers to address stolen identity and account takeover risks.
  • Design and monitor testing methodologies to estimate key metrics for risk strategies.
  • Manage fraud risk aspects of new business initiatives and respond to fraud-related events.

What we're looking for

  • Bachelor's degree in a quantitative field like Statistics, Mathematics, Finance, or Data Science with 5+ years of relevant experience.
  • MS or PhD in a quantitative field with 2+ years of relevant working experience.
  • Working knowledge of risk policy fundamentals for consumer loans and lines of credit, including fraud detection and identity checks.
  • Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
  • Proficiency in SQL, Excel, Python, R, and data visualization tools.
  • Polished partnership and communication skills to interact cross-functionally and influence stakeholders with data stories.
  • Experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space (preferred).
  • Familiarity with big data technologies such as Hive, Hadoop, and related concepts (preferred).

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