ZipRecruiter

Log In

1

Fraud Operations 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 ... Operations to balance fraud prevention with seamless customer experience * Evaluate, onboard, and ...

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 ... Operations to balance fraud prevention with seamless customer experience * Evaluate, onboard, and ...

Adobe, Inc.

Mgr, Fraud Policy and Strategy

San Jose, CA · On-site

Experience with fraud analytics, fraud prevention technologies, trust and safety operations, or enterprise risk management is highly desirable. About Adobe Adobe empowers everyone to create through ...

TabaPay

Fraud & Risk Engineer

Palo Alto, CA · On-site

... Operations, Client Services, and Insights to strengthen our real-time fraud and financial crime detection capabilities. We are looking for a builder, investigator, analyst, and technical problem ...

Jobtailor

Senior Fraud Prevention Analyst

Cerritos, CA · On-site

$90 - $130/hr

Notify branch operations on any questionable items to obtain approval. * Review and identify any ... Maintain all Fraud Logs up to date for management and accounting purposes. * Track and retain ...

Boutique Recruiting

Audit Analyst

San Diego, CA · On-site

Conducting operational due diligence and heavy analytics * Assessing fraud risk, back office sufficiency, conflicts of interest and other potential business risks * Drafting research reports and ...

previous page

Showing results 41-60

All JobsFraud Operations Analyst JobsFraud Operations Analyst Jobs in California

Fraud Operations Analyst information

See California salary details

$15

$30

$62

How much do fraud operations analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for fraud operations analyst in California is $30.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $33.46 per hour, depending on experience, location, and employer.

What does a fraud operations analyst do?

A Fraud Operations Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, often in banking or financial services. They monitor transactions, analyze suspicious patterns, and use specialized software to identify potential fraud. Their role also includes reporting findings, collaborating with other departments, and sometimes working with law enforcement to resolve cases. By proactively addressing fraud risks, they help protect the company and its customers from financial losses.

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

To thrive as a Fraud Operations Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor’s degree. Familiarity with fraud detection tools, data analysis software, and case management systems is typically required, as well as relevant certifications like Certified Fraud Examiner (CFE). Excellent problem-solving abilities, communication, and the capacity to work under pressure are standout soft skills in this role. These skills are crucial for accurately identifying fraudulent activity, minimizing financial risk, and maintaining trust in organizational operations.

What are some common challenges faced by fraud operations analysts, and how can applicants prepare for them?

Fraud Operations Analysts often encounter the challenge of distinguishing between legitimate and suspicious transactions in real time, which requires strong analytical skills and attention to detail. They may also need to manage a high volume of alerts while meeting strict deadlines, making time management and prioritization essential. To prepare, applicants should familiarize themselves with current fraud trends, practice using analytical tools, and develop clear communication skills, as the role frequently involves collaborating with other departments such as compliance and customer service.

What is the difference between Fraud Operations Analyst vs Fraud Investigator?

AspectFraud Operations AnalystFraud Investigator
CredentialsTypically requires a bachelor’s degree in finance, criminal justice, or related field; certifications like CFE or ACFE are commonSimilar credentials; often holds certifications like CFE or ACFE
Work EnvironmentAnalyzes data, monitors fraud patterns, and implements prevention strategies in a corporate settingConducts investigations, interviews, and gathers evidence, often in a law enforcement or corporate environment
Employer & IndustryFinancial institutions, e-commerce, and retail companiesFinancial institutions, law enforcement agencies, and corporate security teams

While both roles focus on combating fraud, the Fraud Operations Analyst primarily monitors and analyzes fraud data to prevent future incidents, whereas the Fraud Investigator actively investigates specific fraud cases and gathers evidence for potential legal action.

Are fraud operations analyst jobs in high demand?

Fraud operations analyst jobs are in high demand due to the increasing need for organizations to detect and prevent financial crimes. These roles often require skills in data analysis, fraud detection tools, and knowledge of financial regulations, making them a valuable part of risk management teams across various industries.

How much does a fraud operations analyst get paid?

A fraud operations analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and the size of the organization. Entry-level roles may start lower, while experienced analysts with certifications can earn higher salaries. The role often requires strong analytical skills and familiarity with fraud detection tools.

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

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

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

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

Fraud Operations Analyst jobs near you
Infographic showing various Fraud Operations Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $62,987 per year, or $30.3 per hour.

Staff Fraud Risk Analyst

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Re-posted 23 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

Footer
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

What Intuit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply