Fraud and Risk Analyst 2

Intuit

Quick summary

Work type: On-site
Location: New York, NY · Mountain View, CA
Salary: $123,500–$167,500 / yr
Posted: today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k

This role $146k

$115k most similar roles pay here $202k

This role pays less than 60% of similar roles. Most pay $128,100–$193,375 — the shaded band above. At the midpoint, this role pays about $146k versus about $161k 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 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 · Fraud and Risk Analyst 2

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Intuit QuickBooks is hiring a Business Data Analyst for its Risk Analytics and Insight team within the Global Business & Self-Employed Group. This senior-level position involves collaborating with various departments to evaluate risk policies and operational processes, focusing on fraud, financial, and compliance risks. The analyst will develop insights from large datasets, create visualizations, design experiments, and work closely with product and technology teams to enhance data ecosystems and build risk detection systems. Key skills include advanced SQL and Python proficiency, experience in Financial Services or FinTech, and expertise with Tableau and Quicksight for data visualization. Candidates should be adept at making quantitative business decisions, have strong communication abilities, and thrive in a fast-paced environment where they can drive innovation and efficiency across multiple projects simultaneously.

Skills

Python SQL Tableau Quicksight KPI metrics Advanced SQL Data visualization Financial Services experience FinTech experience Data analytics CI/CD AWS PostgreSQL

What you'll do

Analyze large data sets to develop insights and translate them into business opportunities.
Design comprehensive KPIs to monitor the performance of risk operations processes.
Implement experiments to explore new methodologies for improving operational efficiency.
Work with product and technology teams to build and operationalize risk solutions.
Enhance data ecosystems and risk data marts by collaborating with data engineers.
Deliver insights and collaborate on building risk detection systems for overall efficiency.

What we're looking for

At least 2 years of relevant experience in Financial Services or FinTech.
Strong analytical skills and proven business acumen.
Advanced proficiency in SQL, Python, and data analytics tools like Tableau.
Excellent communication skills for translating insights into actionable decisions.
Experience designing and implementing KPIs to monitor risk operational performance.
Ability to work collaboratively across multiple teams and manage simultaneous projects.
Bachelor’s Degree in a quantitative field or equivalent experience required.

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