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Fraud Detection Jobs in California (NOW HIRING)

Collectorsuniverse

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

What You'll Do Fraud Detection & Decisioning Operations * Day-to-day operations. Own real-time decisioning, manual-review queues, and case management across Marketplace, Power Packs, and lending.

Replit

Senior Software Engineer, Fraud

Foster City, CA · On-site

$210K - $265K/yr

We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure ... Background in fraud detection, payment abuse, or financial crime * Familiarity with device ...

Replit

Staff Software Engineer, Fraud

Foster City, CA · On-site

$250K - $315K/yr

We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure ... Background in fraud detection, payment abuse, or financial crime * Familiarity with device ...

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Fraud Detection information

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How much do fraud detection jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for fraud detection in California is $17.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $18.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in fraud detection roles?

Professionals in Fraud Detection often face the challenge of keeping up with rapidly evolving fraud tactics and constantly changing regulations. The role can require quick decision-making and meticulous analysis under tight deadlines, especially when investigating transactional anomalies. Collaboration with legal, compliance, and IT teams is common, as fraud prevention typically involves multiple departments working together. Staying updated on new schemes and maintaining vigilance is crucial to successfully protecting an organization from financial loss.

What qualifications do I need to work in fraud detection?

Fraud detection professionals typically need a bachelor's degree in fields such as finance, accounting, computer science, or related areas. Strong analytical skills, knowledge of fraud schemes, and experience with data analysis tools or software are important; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

What is a fraud detection job?

A Fraud Detection job involves identifying and preventing fraudulent activities in financial transactions, online activities, or business operations. Professionals in this role analyze data, monitor transactions, and use advanced tools to detect suspicious behavior. They work closely with risk management teams to develop fraud prevention strategies and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud detection techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in fraud detection?

To thrive in Fraud Detection, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, databases, and data analysis tools, along with certifications such as Certified Fraud Examiner (CFE), is highly valuable. Outstanding communication, critical thinking, and problem-solving abilities help professionals excel when collaborating across departments or investigating suspicious activities. These skills and qualifications are essential for effectively spotting risks, minimizing financial losses, and ensuring organizational integrity.

What degree do you need to be a fraud detection investigator?

A fraud detection investigator typically needs at least a bachelor's degree in fields such as criminal justice, finance, accounting, or a related area. Relevant skills include knowledge of financial systems, data analysis, and sometimes certifications like Certified Fraud Examiner (CFE) can enhance job prospects.

How do you become a fraud detection specialist?

To become a fraud detection specialist, individuals typically need a bachelor's degree in fields like finance, accounting, or cybersecurity. Gaining experience with data analysis, fraud detection tools, and certifications such as Certified Fraud Examiner (CFE) can enhance qualifications for this role.

Are fraud detection professionals in demand?

Yes, fraud detection professionals are in high demand across industries such as banking, e-commerce, and insurance due to increasing financial crimes. They often require skills in data analysis, knowledge of fraud prevention tools, and certifications like Certified Fraud Examiner (CFE). The role is expected to grow as organizations prioritize security and fraud mitigation strategies.
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What cities in California are hiring for Fraud Detection jobs? Cities in California with the most Fraud Detection job openings:
Fraud Detection jobs near you
Infographic showing various Fraud Detection job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,056 per year, or $17.8 per hour.

Customer Success Manager - Fraud/AML Strategy

DataVisor

Mountain View, CA • On-site

Other

PTO

Posted 14 days ago

Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Job Summary

As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.

Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You’ll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.

This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.

Requirements

  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization

  • Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies

  • Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency

  • Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes

  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements

  • Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration

  • Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment

  • Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases

Skillset Requirements

  • 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries

  • Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection

  • Experience working with machine learning-based detection systems and/or rule engines for fraud prevention

  • Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation

  • Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders

  • Confident in leading customer-facing discussions and executive presentations

  • Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously

  • Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus

Benefits

Base salary, bonus & PTO

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