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Check Fraud Jobs in California (NOW HIRING)

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. Role The Fraud ...

Payment / Check Processor

Los Angeles, CA ยท On-site

$20 - $25/hr

... check spreadsheets for Stage 1 and CCAP bank accounts. This position assists with processing ... fraud unit for copies of cancelled checks and payment historiesAssist fiscal staff with special ...

SIU Investigator I

Los Angeles, CA ยท On-site +1

$77K - $147K/yr

This role requires a strong understanding of fraud schemes and investigation strategies to ... After making a conditional offer and running a background check, if USAA is concerned about a ...

Showing results 21-40

Check Fraud information

See California salary details

$15

$30

$62

How much do check fraud jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for check fraud 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 is check fraud?

Check fraud is a type of financial crime that involves the unlawful use of checks to illegally acquire or borrow funds that do not exist within the account balance or account holder's authorization. This can include activities such as forging signatures, altering information on checks, using counterfeit checks, or depositing stolen checks. Check fraud can lead to significant financial losses for individuals, businesses, and banks, and is punishable by law. Preventing check fraud often involves careful verification of checks, secure handling of checkbooks, and monitoring account activity.

What are the key skills and qualifications needed to thrive as a check fraud investigator?

To thrive as a Check Fraud Investigator, you need a strong background in financial analysis, knowledge of banking regulations, and experience with fraud detection, typically supported by a degree in finance, accounting, or criminal justice. Familiarity with fraud detection software, banking systems, and relevant certifications such as Certified Fraud Examiner (CFE) are often required. Attention to detail, analytical thinking, and strong communication skills help investigators identify suspicious activities and work effectively with law enforcement or internal teams. These skills are critical for detecting fraudulent transactions, minimizing financial losses, and ensuring regulatory compliance.

What are some common challenges faced by professionals working in check fraud prevention, and how can they be addressed?

Professionals in check fraud prevention often face the challenge of staying ahead of increasingly sophisticated fraud techniques, such as counterfeit checks and account takeovers. Rapidly evolving technology means constant vigilance and ongoing training are essential. Collaboration with other departments, like IT and customer service, is often required to investigate and resolve cases efficiently. Staying informed about current fraud trends and utilizing advanced detection tools can help mitigate risks and ensure quick response to suspicious activities.

What is the difference between Check Fraud vs Bank Teller?

AspectCheck FraudBank Teller
Primary RoleDetecting and preventing fraudulent check activitiesAssisting customers with transactions, account inquiries, and deposits
Required SkillsAttention to detail, knowledge of fraud detection, analytical skillsCustomer service, cash handling, communication skills
Work EnvironmentFinancial institutions, fraud prevention departmentsBank branches, retail banking settings
CertificationsOften requires knowledge of banking regulations, fraud detection certificationsCustomer service training, banking certifications (optional)

Check Fraud specialists focus on identifying and preventing fraudulent activities related to checks, working closely with security and compliance teams. Bank Tellers handle daily customer transactions and provide banking services. While both roles are within the banking industry, their responsibilities and skill sets differ significantly, with Check Fraud roles emphasizing security and fraud detection, and Bank Tellers focusing on customer service and transaction processing.

Infographic showing various Check Fraud job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $62,987 per year, or $30.3 per hour.

Senior Software Engineer, Fraud

Whatnot

San Francisco, CA โ€ข On-site

$200K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


Job description

Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
The Fraud Experience team builds intelligent, real-time systems that safeguard Whatnot's marketplace from malicious activity. We design, develop, and deploy end-to-end, ML-driven systems that proactively identify and mitigate fraud - blending real-time detection with transparent, user-centered enforcement.
What You'll Do
  • Lead the full architecture of fraud detection, prevention, and intervention systems - spanning machine learning, backend, and client-side components.
  • Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale.
  • Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions.
  • Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads.
  • Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics.
  • Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement.
  • Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries.

We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact.
What You'll Bring
  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field.
  • 4+ years of software engineering experience building systems for consumer-scale traffic and reliability.
  • 1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM).
  • 1+ years of experience in machine learning or fraud prevention domains.
  • Deep business intuition and a data-driven mindset - you think critically about how abuse prevention systems affect growth and user experience.
  • Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster).
  • Strong communication skills and the ability to lead initiatives across product areas, collaborating closely with leadership, data science, and product teams.
  • Experience working in a remote-first environment and producing well-tested, reproducible work.

What Sets You Apart
  • You're impact-obsessed - you focus relentlessly on delivering value for users and simplify wherever possible, moving fast without sacrificing quality.
  • You're entrepreneurial and relentless - you prioritize effectively, tackle hard problems with curiosity, and go above and beyond to make things happen.
  • You have a growth mindset and love digging into ambiguous user problems, crafting data-driven solutions, and shipping improvements quickly.
  • Hands-on machine learning or data science experience in production environments.

Benefits
  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • Home office setup allowance
    • Monthly allowance for cell phone and internet
  • Care benefits
    • Monthly allowance for wellness
    • Annual allowance towards Childcare
    • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Monthly allowance to dogfood the app
    • All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.