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Fraud Risk Analyst Jobs in California (NOW HIRING)

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the ...

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex ... Fraud/risk analytics * Transaction analytics * Hands-on expertise in SQL is required; Python ...

Quantum Electronic Payments

Risk Analyst

Anaheim, CA

$50K - $60K/yr

We are looking for a dependable and analytical Risk Analyst I to monitor merchant activity, identify potential fraud or financial exposure, and help protect the company and our merchant partners from ...

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How much do fraud risk analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for fraud risk analyst in California is $42.74, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $52.45 per hour, depending on experience, location, and employer.

What does a fraud risk analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

What are the key skills and qualifications needed to thrive as a fraud risk analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What are some common challenges faced by fraud risk analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.

What are the most commonly searched types of Fraud Risk Analyst jobs in California?

The most popular types of Fraud Risk Analyst jobs in California are:

What are popular job titles related to Fraud Risk Analyst jobs in California?

For Fraud Risk Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Fraud Risk Analyst jobs in California look for?

The top searched job categories for Fraud Risk Analyst jobs in California are:

Fraud Risk Analyst jobs near you
Infographic showing various Fraud Risk Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,899 per year, or $42.7 per hour.

Staff Fraud Risk Analyst

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Re-posted 22 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

108th of 246 rated software companies

Job description

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.
Intuit's Business Credit Card, a Quickbooks Capital product, is one of the company's most exciting new product launches, with aggressive growth plans and significant customer demand on the horizon. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.
As a key analyst of the Fraud Risk Management team for Intuit's Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the product life cycle. You will be deeply familiar with typical fraud behaviors involving identity fraud, bust out, check kiting, account take over and transaction fraud, and will develop adaptive strategies to prevent and minimize fraud losses. You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit risk team in developing holistic approaches to mitigating total losses and setting program performance expectations. You will strive towards striking the optimal balance between great customer experience, program profitability and fraud risk mitigation.
You will be continually evaluating and onboarding new products and tools for fraud underwriting and exposure management and will actively partner with stakeholders across lending products to develop a coordinated strategy for external vendor usage. You will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.
Responsibilities
  • Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management
  • Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program
  • Continually evaluate fraud defenses through quantitative analysis of hit rates, false positive rates, A/B test results and cost-benefit financial analyses
  • Partner with the Data Science team to identify modeling needs and enhance fraud model performance
  • Develop fraud monitoring metrics, early warning indicators, trend analyses and report them through performance dashboards to various stakeholders
  • Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience
  • Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities
  • Leverage AI and automation to improve fraud detection speed, scalability, and precision

Qualifications
  • Bachelor's degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
  • Minimum 6 years of experience in Fraud risk analytics and risk management
  • Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention
  • Proven expertise with industry-standard tools, fraud platforms, and best-in-class risk models
  • Excellent analytical and problem-solving skills with a proven track record of converting analysis insights into business recommendations
  • Exceptional verbal and written communication skills to effectively communicate complex ideas and influence audiences in decision making
  • Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $176,500 - $238,500

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