Senior Fraud and Risk Analyst - Fintech

Intuit

Quick summary

Work type
On-site
Location
New York, NYMountain View, CA
Salary
$150,500–$204,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $177k
$132k most similar roles pay here $224k

This role pays more than 50% of similar roles. Most pay $140,550–$214,900 — the shaded band above. At the midpoint, this role pays about $177k versus about $178k 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 125 open roles on FindRole.

Listed pay typically runs $200,750–$272,000 across 112 roles with salary data.

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At a glance

TL;DR · Senior Fraud and Risk Analyst - Fintech

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Intuit QuickBooks is hiring a Senior Fraud and Risk Analyst to join its growing Risk Analytics and Insight team within the Global Business & Self-Employed Group. This role involves collaborating with various functions such as Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, and Finance to evaluate risk policies and manual case review processes for fraud, financial, and compliance risks. The analyst will develop comprehensive KPIs, design experiments, and work closely with product and technology teams to build and operationalize risk solutions that enhance efficiency and customer experience while mitigating risks in payments, payroll, and capital loan products. Strong analytical skills, advanced SQL and Python proficiency, and experience with data visualization tools like Tableau are essential. The ideal candidate will have at least five years of relevant experience, preferably in Financial Services or FinTech, and the ability to work effectively in a fast-paced environment while balancing short-term and long-term strategic objectives.

Skills

Python SQL Tableau Quicksight AWS Kubernetes CI/CD Docker PostgreSQL Snowflake Git JIRA SAP Salesforce Google Cloud Platform Azure MLOps Scikit-learn Pandas NumPy Matplotlib Seaborn

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 evaluate new methodologies for operational efficiency.
  • Work with product teams to build and operationalize risk solutions, gathering feedback.
  • Enhance data ecosystems and risk data marts by collaborating with data engineers.
  • Deliver insights and collaborate on building risk detection systems for overall efficiency.
  • Drive agent investigation capabilities while enhancing customer experience through analytics.

What we're looking for

  • At least 5 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.
  • Ability to develop insights from large datasets and communicate them effectively.
  • Experience designing and implementing experiments for risk operational processes.
  • Excellent written and verbal communication skills with a high degree of accountability.
  • Bachelor’s Degree in Economics, Science, Math or other quantitative field required.

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