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Fraud Risk Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Discord's Payments, Fraud & Risk team enables revenue growth and protects Discord's financial health by managing payments optimization and fraud risk as a strategic function. We operate across three ...

Discord's Payments, Fraud & Risk team enables revenue growth and protects Discord's financial health by managing payments optimization and fraud risk as a strategic function. We operate across three ...

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Fraud Risk information

See California salary details

$14

$29

$73

How much do fraud risk jobs pay per hour?

As of Sep 12, 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:

Infographic showing various Fraud Risk job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $62,273 per year, or $29.9 per hour.

Fraud & Risk Analyst

San Francisco, CA • On-site

SupportFinity™
IT Services • 51 - 200 employees

Other

Posted 10 days ago


Key responsibilities

  • Review and verify customer identities, organizations, and ownership structures

  • Investigate suspicious or high-risk accounts and evaluate documents, internal data, and third-party sources to determine legitimacy and risk

  • Enforce account-level actions such as approvals, restrictions, suspensions, or escalations


Job description

About The Team

The Account & Platform Integrity team protects OpenAI’s ecosystem from fraud, impersonation, abuse, and account‑level threats. We ensure that the people and organizations using OpenAI are who they claim to be, that access is used appropriately, and that bad actors are prevented from exploiting the platform.

About The Team

The Account & Platform Integrity team protects OpenAI’s ecosystem from fraud, impersonation, abuse, and account‑level threats. We ensure that the people and organizations using OpenAI are who they claim to be, that access is used appropriately, and that bad actors are prevented from exploiting the platform.

We operate at the intersection of identity, access, compliance, and abuse prevention, working closely with Product, Engineering, Legal, Go-To-Market, and Support teams to stop harmful activity before it impacts users, customers, or the business. Our work directly protects revenue, user trust, and platform safety across ChatGPT, the API, and enterprise products.

About The Role

We’re hiring a Fraud & Risk Analyst to help safeguard OpenAI by investigating, validating, and monitoring customer accounts and organizations. You will focus on identity, legitimacy, and risk, ensuring accounts are properly verified, access is appropriate, and emerging threats are detected early.

You’ll handle sensitive and high‑stakes investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your work will directly influence who can use OpenAI’s products and how safely we can scale.

Note: This role may involve reviewing sensitive, confidential, or disturbing content.

We use a hybrid work model of 3 days in the office per week in our San Francisco office.

In This Role You Will
  • Review and verify customer identities, organizations, and ownership structures
  • Investigate suspicious or high-risk accounts (e.g., fraud, impersonation, shell companies, abuse of API or ChatGPT access)
  • Evaluate documents, internal data, and third‑party sources to determine legitimacy and risk
  • Enforce account-level actions such as approvals, restrictions, suspensions, or escalations
  • Serve as the case owner for complex, high‑visibility verification and integrity cases
  • Partner with Legal, Compliance, Sales, and Support to resolve issues quickly and accurately
  • Handle escalations, appeals, and sensitive customer communicationsHelp design and improve verification workflows, fraud detection, and risk‑scoring systems
  • Contribute to automation, tooling, and human‑in‑the‑loop review pipelines
  • Identify patterns of abuse and recommend new controls or safeguards
  • Analyze data to uncover fraud and abuse trends
  • Provide feedback to Product and Engineering to improve onboarding, verification, and access controls
  • Create clear playbooks and guidance for frontline teams handling high-risk accounts
You Might Thrive In This Role If You
  • Have 5+ years of experience in verifications, fraud, trust & safety, or risk investigations
  • Are comfortable making high-impact decisions about who should — or should not — have platform access
  • Have experience working cross-functionally with Legal, Product, Sales, and Operations
  • Enjoy building systems, not just running them — especially in fast-moving environments
  • Are calm under pressure, detail-oriented, and trusted with sensitive and ambiguous cases
  • Thrive in environments that require judgment, speed, and accountability
About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the company OpenAI
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