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Fraud Operations Analyst Jobs (NOW HIRING)

Stripe

Fraud Patterns Analyst

About the team The Risk Operations team is looking for an experienced fraud analyst to join an industry-leading global fraud operations team. This position is responsible for writing and maintaining ...

Collectorsuniverse

Head of Fraud Operations

Santa Ana, CA · On-site +1

$139K - $200K/yr

The Head of Fraud Operations runs the operational engine of fraud prevention across Collectors ... Manage review-queue health, decision SLAs, and analyst productivity and quality. Investigations ...

UMB Financial

Fraud Prevention Analyst

Kansas City, MO · Hybrid

$59K - $86K/yr

As the Fraud Prevention Analyst , you will support UMB Fraud Operations to protect UMB and clients against multi-channel payment fraud loss or loss due to identity theft. These payment channels will ...

Bank of the Sierra

$85 - $115/hr

JOB SUMMARY Under the guidance of the Fraud Operations Manager, the Senior Fraud Analyst serves in a critical role to prevent, detect, and investigate fraudulent activities. This role is responsible ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Overview The Fraud Strategy Analyst is responsible for supporting the development, testing, and ... Operational Feedback & Cross-Functional Execution * Partner with Onboarding Risk Operations and ...

SpaceXAI

Fraud Analyst

New York, NY · On-site

$100K - $135K/yr

Minimum of 2 years of direct experience in fraud investigation, fraud operations, or fraud risk ... Strong analytical skills with the ability to interpret complex data and identify patterns of ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX

$77K - $132K/yr

The Fraud Strategy Analyst is responsible for supporting the development, testing, and ongoing ... Operational Feedback & Cross-Functional Execution * Partner with Onboarding Risk Operations and ...

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How much do fraud operations analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for fraud operations analyst in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What does a fraud operations analyst do?

A Fraud Operations Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, often in banking or financial services. They monitor transactions, analyze suspicious patterns, and use specialized software to identify potential fraud. Their role also includes reporting findings, collaborating with other departments, and sometimes working with law enforcement to resolve cases. By proactively addressing fraud risks, they help protect the company and its customers from financial losses.

What are the key skills and qualifications needed to thrive as a fraud operations analyst, and why are they important?

To thrive as a Fraud Operations Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor’s degree. Familiarity with fraud detection tools, data analysis software, and case management systems is typically required, as well as relevant certifications like Certified Fraud Examiner (CFE). Excellent problem-solving abilities, communication, and the capacity to work under pressure are standout soft skills in this role. These skills are crucial for accurately identifying fraudulent activity, minimizing financial risk, and maintaining trust in organizational operations.

What are some common challenges faced by fraud operations analysts, and how can applicants prepare for them?

Fraud Operations Analysts often encounter the challenge of distinguishing between legitimate and suspicious transactions in real time, which requires strong analytical skills and attention to detail. They may also need to manage a high volume of alerts while meeting strict deadlines, making time management and prioritization essential. To prepare, applicants should familiarize themselves with current fraud trends, practice using analytical tools, and develop clear communication skills, as the role frequently involves collaborating with other departments such as compliance and customer service.

What is the difference between Fraud Operations Analyst vs Fraud Investigator?

AspectFraud Operations AnalystFraud Investigator
CredentialsTypically requires a bachelor’s degree in finance, criminal justice, or related field; certifications like CFE or ACFE are commonSimilar credentials; often holds certifications like CFE or ACFE
Work EnvironmentAnalyzes data, monitors fraud patterns, and implements prevention strategies in a corporate settingConducts investigations, interviews, and gathers evidence, often in a law enforcement or corporate environment
Employer & IndustryFinancial institutions, e-commerce, and retail companiesFinancial institutions, law enforcement agencies, and corporate security teams

While both roles focus on combating fraud, the Fraud Operations Analyst primarily monitors and analyzes fraud data to prevent future incidents, whereas the Fraud Investigator actively investigates specific fraud cases and gathers evidence for potential legal action.

Are fraud operations analyst jobs in high demand?

Fraud operations analyst jobs are in high demand due to the increasing need for organizations to detect and prevent financial crimes. These roles often require skills in data analysis, fraud detection tools, and knowledge of financial regulations, making them a valuable part of risk management teams across various industries.

How much does a fraud operations analyst get paid?

A fraud operations analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and the size of the organization. Entry-level roles may start lower, while experienced analysts with certifications can earn higher salaries. The role often requires strong analytical skills and familiarity with fraud detection tools.
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Fraud Operations Analyst jobs near you
Infographic showing various Fraud Operations Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Fraud Patterns Analyst

Stripe

Remote

Full-time

Re-posted 26 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Risk Operations team is looking for an experienced fraud analyst to join an industry-leading global fraud operations team. This position is responsible for writing and maintaining fraud rulesets to prevent transaction fraud, conducting data analysis to identify and mitigate fraud attacks, while minimizing impact to users, and working collaboratively with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls. They should have a deep understanding of fraud patterns and typologies, advanced SQL proficiency, strong analytical abilities, and experience writing and managing fraud rulesets.
What you'll do
Did you know that only around 4% of the world's GDP comes from internet commerce? At Stripe, we believe that this represents a future with almost limitless potential for innovation, creativity, and global prosperity. While the promise of a global online economy is palpable, it doesn't come without significant risk. Each day, bad actors disrupt the trust and safety of the internet and increase the barrier of entry for online businesses. Before we can fully realize the potential of a global internet economy, we must first address the burgeoning problem of fraud.
We are looking for someone passionate about fighting fraud, identifying new trends and typologies, conducting complex data analysis, and working collaboratively with peers and partners in the fraud space. This position works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud attacks.
The right candidate for this role will have a minimum of five years' experience conducting advanced data analysis using SQL, preferably within the fraud space across e-commerce, payments, or cryptocurrency. Candidates should have experience writing, maintaining, and analyzing complex fraud rulesets and demonstrated success minimizing fraud losses along with impacts to users. Candidates should also have experience working closely with product teams to implement risk controls and demonstrate a deep understanding of fraud typologies, controls, and ability to mitigate fraud risk.
Responsibilities
  • Build and maintain fraud rulesets to prevent transaction-level fraud losses, including ongoing monitoring and measurements of precision and recall
  • Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users
  • Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure
  • Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks
  • Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users
  • Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners
  • Utilize analytics to identify and implement initiatives to automate manual processes and workload across the organization
  • Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience
  • Utilize Stripe tools and systems to enable systematic actioning of fraudulent merchants, maintaining an extremely high level of accuracy to prevent negative user experience
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • A minimum of five years of experience conducting advanced data analysis and managing transaction fraud rulesets
  • Advanced-level proficiency in SQL
  • Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic and scaled controls and processes
  • Experience creating data visualizations and dashboards and presenting findings to technical and non-technical audiences, including senior leadership
  • The ability to drive execution on projects working in a heavily cross-functional environment
  • Creativity, a team-focused mentality, and effective problem-solving skills
  • The ability and desire to question the status quo
  • The ability to approach challenges from a user perspective while being pragmatic and solutions-oriented
Preferred qualifications
  • Fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital and card-not-present fraud
  • Experience investigating and mitigating card testing and account takeover attacks
  • Proficiency in Splunk, Python, Tableau, or other data visualization tools
  • Undergraduate or advanced degree in analytics, data science, or statistics
  • Experience with clustering, classification, and link analysis
  • Experience working in fast-paced and rapidly changing environments
  • Experience designing and implementing product-level fraud and risk controls

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