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Fraud Risk Analyst Jobs in California (NOW HIRING)

Galent

Fraud Analyst

San Jose, CA

* 4+ years of experience in risk analytics, fraud strategy, or risk policy at a payments, fintech, or financial services company * Expert-level SQL (BigQuery strongly preferred); comfortable writing ...

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CityFirst Bank

BSA/AML and Fraud Manager

Los Angeles, CA · On-site

$130K - $140K/yr

In parallel, the role leads the development of a comprehensive fraud risk program spanning deposit and lending operations, including fraud detection, investigations, analytics, and loss mitigation.

TikTok

Fraud Investigator

San Jose, CA · On-site

$121K - $220K/yr

... analysis, and remediation processes. - Experience performing internal fraud risk assessments and implementing effective remediation and control measures within a business environment. - Strong ...

Avidbank

Fraud Specialist

San Jose, CA

$65K - $100K/yr

The Fraud Specialist independently performs fraud analytics, transaction monitoring, and investigative reviews in support of the Bank's fraud risk management program. This position applies sound ...

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Fraud Risk Analyst information

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How much do fraud risk analyst jobs pay per hour?

As of Jun 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 is the salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

What is the average salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Professionals in this role often use data analysis tools and may require certifications such as Certified Fraud Examiner (CFE).

Is fraud risk a good career?

A career as a Fraud Risk Analyst involves identifying and preventing financial crimes, requiring skills in data analysis, attention to detail, and knowledge of fraud detection tools. It is a growing field with demand across industries such as banking, insurance, and e-commerce, offering opportunities for advancement and specialization. The role often requires certifications like Certified Fraud Examiner (CFE) and a strong understanding of regulatory environments.

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 does a fraud and risk analyst do?

A fraud and risk analyst investigates and identifies potential fraudulent activities and assesses risks within financial transactions or business operations. They analyze data using specialized tools, develop risk mitigation strategies, and ensure compliance with regulations to prevent financial losses and protect organizational assets.

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 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

Fraud Analyst

Galent

San Jose, CA

Other

Posted yesterday

Job description

  • 4+ years of experience in risk analytics, fraud strategy, or risk policy at a payments, fintech, or financial services company
  • Expert-level SQL (BigQuery strongly preferred); comfortable writing complex CTEs, window functions, dedup logic, and partition-filtered queries on large transactional tables
  • Strong understanding of A/B testing and shadow testing frameworks for platform migrations or model deployments
  • Proven ability to independently scope and deliver end-to-end data analyses with clear, actionable stakeholder deliverables
  • Excellent communication skills - comfortable presenting complex findings to cross-functional teams and leadership
  • Python proficiency for automation (pandas, openpyxl, ThreadPoolExecutor-based parallel query execution)
  • Experience with Tableau for risk/fraud KPI dashboards

Preferred Skills:

  • Exposure to model risk concepts: score values, data pipelines, velocity features
  • Experience with rule-based risk systems and the ability to read, write, and debug rule logic (Pluto)

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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