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Fraud Risk Jobs in California (NOW HIRING)

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

Mercor

Fraud Engineer - AI Specialist

San Francisco, CA · Remote

$80/hr

Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks. * Review model-generated implementations involving fraud detection systems, risk scoring models, abuse ...

Cathay Bank

VP Fraud Strategy Officer

Rosemead, CA · On-site

$94K - $109K/yr

Partners with 2LOD Risk Management team to execute on the fraud risk policy and procedures. * Identifies and suggests methods to prevent deposit-related losses, to recover funds and to mitigate ...

Brex

Fraud Operations Associate

San Francisco, CA · Hybrid

$86K - $108K/yr

Make risk-based, subjective decisions on high-value/risk transactions & account offboardings * Achieve company-level goals around financial fraud losses Case Escalations & Incident Handling * Respond ...

Coinme

Director of Payments & Risk

San Francisco, CA · On-site

Own the fraud risk strategy and the end-to-end defense architecture across the payments stack: vendor risk engines, internal controls, processor-level gates, and partner-bank requirements, with a ...

Westamerica Bank

VP/RISK INVESTIGATIONS MGR

Santa Rosa, CA · On-site

$70K - $85K/yr

Develop and implement strategies for detecting and preventing fraud, money laundering, terrorist ... Manage underwriting, risk, and dispute resolution staff: * Supervise day-to-day staff activities ...

Westamerica Bank

VP/RISK INVESTIGATIONS MGR

Santa Rosa, CA · On-site

$70K - $85K/yr

Develop and implement strategies for detecting and preventing fraud, money laundering, terrorist ... Manage underwriting, risk, and dispute resolution staff: * Supervise day-to-day staff activities ...

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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 Risk Analyst, Consumer Risk Analytics

Intuit

Mountain View, CA • On-site

$176K - $238K/yr

Full-time

Posted 5 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

Intuit is a global platform company on a mission to power prosperity worldwide for consumers, small businesses, and the self-employed. Across our four leading brands - TurboTax, Credit Karma, QuickBooks, and Mailchimp - Intuit serves over 100M customers.
This role is foundational to our Consumer Group Risk (CG Risk) team's AI transformation strategy. You will design and build the data infrastructure - data dictionary, schema management, and pipelines - that directly powers AI agents and automated risk workflows across our consumer lending and banking products. Without this foundation, the team's AI capabilities cannot scale.
We are seeking a Staff Fraud & Risk Analyst as part of our Consumer Risk Analytics team. The successful candidate will own the data layer that enables our analytics and AI applications, working across Fraud & Risk Policy, Credit Risk, Operations, Data Science, and Product.
Responsibilities
  • Own and maintain the organization's risk data dictionary, metadata, data lineage, and governance standards across AWS and Google BigQuery, serving as the single source of truth for analytics and risk teams.
  • Design, build, and operate scalable data architecture, data marts, and pipelines that support consumer risk analytics, power AI agents, and enable automated risk workflows, while improving performance, efficiency, and scalability.
  • Partner with the AI architect, product, and technology teams to implement data-layer components and integrate new data sources and features into the broader risk and AI infrastructure.
  • Establish data quality processes, including validation, reconciliation, and monitoring, to ensure data is accurate, consistent, and accessible.
  • Collaborate effectively with data scientists, analysts, and business stakeholders to translate requirements into efficient data models and ETL processes, demonstrating sound judgment, strategic thinking, creativity, and the ability to manage multiple priorities.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or another quantitative field with at least 5 years of relevant experience; or a master's degree or higher in a related field with at least 3 years of relevant experience in data engineering, data architecture, or data warehousing.
  • Strong analytical skills and business acumen, with experience in financial services, FinTech, consumer risk, or risk-related KPIs and OKRs preferred. Experience building data infrastructure for AI and LLM applications, including agent-ready schema documentation, vector stores, or RAG pipelines is a strong plus.
  • Advanced Python and distributed data-processing skills, including experience with Spark, Spark SQL, or Scala, combined with hands-on expertise in Databricks and Google BigQuery. Demonstrated experience designing scalable data marts, data warehouses, or data lakes using sound data-modeling and dimensional-modeling principles is required. Familiarity with Snowflake, AWS S3, or other cloud data platforms is a plus.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
  • Highly accountable, organized, collaborative, and empathetic, with a passion for building robust data foundations, curiosity about complex business problems, and the ability to balance immediate priorities with long-term strategic considerations in a fast-paced environment.

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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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