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Fraud Risk 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 ...

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

We're building the next generation of scalable, configurable risk decisioning capabilities, and we're looking for a Fraud & Risk Decisioning Engineer to help drive that effort. In this highly hands ...

Jobtailor

Senior Fraud Risk Investigator

Cerritos, CA · On-site

$90 - $130/hr

Verify potential fraud On Us Checks, Deposit and ACH as identified in the Bank's Fraud Detection System identifies high risk transactions with customer and/or business portfolios. * Communicates ...

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 ...

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$14

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$73

How much do fraud risk jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for fraud risk in California is $29.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $38.17 per hour, depending on experience, location, and employer.

What is fraud risk?

Fraud risk refers to the possibility that an individual or organization will intentionally deceive others for financial or personal gain. A fraud risk analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within a company or financial institution. Their duties typically include monitoring transactions, analyzing data patterns, developing anti-fraud policies, and working with law enforcement or regulatory agencies to investigate suspicious activities. By proactively managing fraud risk, these professionals help protect their organization’s assets and reputation.

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

To thrive as a Fraud Risk Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a relevant degree. Familiarity with fraud detection software, data analytics tools (like SQL, SAS, or Python), and certifications such as Certified Fraud Examiner (CFE) are typically required. Excellent problem-solving, communication, and critical thinking skills help you proactively identify risks and work effectively with cross-functional teams. These abilities are crucial for detecting and mitigating fraudulent activities, protecting organizational assets, and maintaining regulatory compliance.

What are some common challenges faced by professionals in fraud risk roles, and how can they be addressed?

Professionals in Fraud Risk roles often encounter challenges such as staying ahead of rapidly evolving fraud tactics, managing large volumes of data, and balancing the need for security with customer experience. To address these, it’s crucial to continuously update knowledge on emerging threats, leverage advanced analytical tools, and collaborate closely with IT, compliance, and customer service teams. Regular training, cross-department communication, and investment in technology can help ensure effective fraud detection and prevention while maintaining positive client interactions.

What is the difference between Fraud Risk vs Fraud Analyst?

AspectFraud RiskFraud Analyst
Required CredentialsRisk management certifications, knowledge of fraud preventionCertifications like CFE, CPA, or fraud examination credentials
Work EnvironmentRisk assessment teams, compliance departmentsInvestigations, data analysis, reporting
Employer & Industry UsageFinancial institutions, insurance, retailBanking, finance, insurance, retail

Fraud Risk focuses on identifying and managing potential vulnerabilities to fraud within an organization, emphasizing risk assessment and mitigation strategies. Fraud Analysts, on the other hand, investigate specific fraud cases, analyze data, and detect fraudulent activities. While both roles require knowledge of fraud prevention, Fraud Risk professionals develop strategies to prevent fraud, whereas Fraud Analysts handle the detection and investigation of actual incidents.

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

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

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

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

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

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

Fraud Risk jobs near you
Infographic showing various Fraud Risk 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 $62,273 per year, or $29.9 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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