Principal 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
today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $177k
$122k most similar roles pay here $225k

This role pays more than 53% of similar roles. Most pay $132,400–$214,900 — the shaded band above. At the midpoint, this role pays about $177k versus about $174k for comparable roles.

Based on 237 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 120 open roles on FindRole.

Listed pay typically runs $200,500–$271,500 across 110 roles with salary data.

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At a glance

TL;DR · Principal Fraud and Risk Analyst - Fintech

Intuit QuickBooks is hiring a Principal Fraud and Risk Analyst to join its growing Risk Analytics and Insight team within the Global Business & Self-Employed Group. This senior-level role involves collaborating with various functions like Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, and Finance to drive insights that enhance business outcomes for small businesses. The analyst will focus on evaluating risk policies and operational processes to mitigate fraud, financial, and compliance risks, ensuring optimal profitability while reducing costs. Key responsibilities include analyzing large datasets, developing KPIs, designing experiments, and working with product and technology teams to build and operationalize risk solutions. Candidates should have advanced SQL and Python skills, experience with data visualization tools like Tableau, and a strong background in financial services or fintech. The role demands excellent communication skills, strategic thinking, and the ability to work effectively in a fast-paced environment on multiple projects simultaneously.

What you'll do

  • Analyze large data sets to develop insights and translate them into business opportunities.
  • Design comprehensive KPIs to monitor performance of risk operations processes.
  • Implement experiments to explore new methodologies for operational efficiency.
  • Work with product teams to build and operationalize risk solutions.
  • Enhance data ecosystem by collaborating with data engineers and technology teams.
  • Deliver ideas and insights to build efficient risk detection systems.
  • Collaborate with cross-functional teams to drive overall efficiency and customer experience.

What we're looking for

  • At least 5 years of relevant experience in Financial Services or FinTech.
  • Strong analytical skills and proven business acumen.
  • Proficient in SQL, Python, and data analytics tools like Tableau and Quicksight.
  • Excellent communication skills for storytelling with data and driving decision-making.
  • Experience working with KPIs and OKRs to measure performance.
  • Ability to work in a fast-paced environment, multitask, and balance strategic implications.

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