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Online Fraud Jobs (NOW HIRING)

Stripe

Fraud Patterns Analyst

While the promise of a global online economy is palpable, it doesn't come without significant risk ... We are looking for someone passionate about fighting fraud, identifying new trends and typologies ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

ID.me is a next-generation digital identity wallet that allows individuals to securely prove their identity online. They are seeking a Senior Fraud Investigations Analyst responsible for leading ...

GreenState Credit Union

Fraud Analyst

North Liberty, IA · On-site

$29.17 - $34.11/hr

Reviews, analyzes and investigates potentially fraudulent activity through online deposit account ... Manages check fraud claims. * Documents, accurately and thoroughly, all actions taken on a case.

EmployVision

Fraud Analyst

Little Silver, NJ · On-site

... including online information and bank records, to facilitate investigations. * Utilize multiple ... Engage with other financial institutions and fraud units to confirm fraud, identify common suspects ...

GreenState Credit Union

Fraud Analyst

North Liberty, IA · On-site

$29.17 - $34.11/hr

Reviews, analyzes and investigates potentially fraudulent activity through online deposit account ... Manages check fraud claims. * Documents, accurately and thoroughly, all actions taken on a case.

Origin Bank

Fraud Analyst

Ruston, LA · On-site

Completes necessary steps when mobile deposit fraud is detected by restricting accounts and online banking access, placing holds, creating fraud alerts in the fraud monitoring system, and notifying ...

New

IBC Bank

Fraud Analyst

San Antonio, TX · On-site

Serve as key liaison to Fraud division for addressing specific business functions related to the Day 2 Review Report, VISA Data manager, VISA Resolve OnLine (VROL), and other systems as they become ...

State of South Carolina

Fraud Analyst

Columbia, SC · Hybrid

$60K - $88K/yr

As a Fraud Analyst you will perform reviews of individual income tax returns to identify possible ... Ready to apply Apply online and complete the application fully, including all current and previous ...

US Bank

Fraud Risk Analyst

Minneapolis, MN

Experience within fraud strategy related to online banking and digital payments preferred * Bachelor's degree in Quantitative field; Master's degree a plus LOCATION EXPECTATIONS: This role requires ...

US Bank

Fraud Risk Analyst

Cincinnati, OH

Experience within fraud strategy related to online banking and digital payments preferred * Bachelor's degree in Quantitative field; Master's degree a plus LOCATION EXPECTATIONS: This role requires ...

US Bank

Fraud Risk Analyst

Tempe, AZ

Experience within fraud strategy related to online banking and digital payments preferred * Bachelor's degree in Quantitative field; Master's degree a plus LOCATION EXPECTATIONS: This role requires ...

U.S. Bank

Fraud Risk Analyst

Minneapolis, MN · On-site

Experience within fraud strategy related to online banking and digital payments preferred * Bachelor's degree in Quantitative field; Master's degree a plus LOCATION EXPECTATIONS: This role requires ...

US Bank

Fraud Risk Analyst

Irving, TX

Experience within fraud strategy related to online banking and digital payments preferred * Bachelor's degree in Quantitative field; Master's degree a plus LOCATION EXPECTATIONS: This role requires ...

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How much do online fraud jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for online fraud in the United States is $23.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in online fraud prevention roles?

Professionals in online fraud prevention often face the challenge of staying ahead of rapidly evolving fraud tactics and technologies. The work environment typically requires constant monitoring, quick decision-making, and collaboration with IT, legal, and customer service teams to detect and mitigate threats. Balancing strong security measures with a seamless user experience is another frequent challenge. Additionally, online fraud specialists must regularly update their knowledge and tools to effectively address new and sophisticated schemes.

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

To thrive as an Online Fraud Analyst, you need strong analytical abilities, attention to detail, and a background in finance, cybersecurity, or criminal justice, often supported by a relevant degree. Familiarity with fraud detection software, data analysis tools like SQL, and certifications such as Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving skills, communication, and the ability to work under pressure make candidates stand out in this role. These skills and qualifications are vital for accurately identifying fraudulent activities, minimizing financial loss, and maintaining organizational trust.

Can an online fraud analyst work from home?

Yes, online fraud analysts often have the option to work remotely, especially since their tasks primarily involve analyzing digital data and using specialized software. Many companies offer remote positions for fraud analysts, requiring skills in data analysis, attention to detail, and familiarity with fraud detection tools. However, some roles may require on-site presence for certain investigations or team collaboration.

What is an online fraud specialist?

An online fraud specialist is a professional responsible for detecting, investigating, and preventing fraudulent activities that occur over the internet. They monitor transactions, analyze data patterns, and implement security measures to protect businesses and customers from online scams and cybercrimes. These specialists often work with law enforcement and utilize specialized tools to identify suspicious behavior and mitigate risks. Their role is crucial in maintaining the integrity and security of online platforms.
What cities are hiring for Online Fraud jobs? Cities with the most Online Fraud job openings:
What are the most commonly searched types of Fraud jobs? The most popular types of Fraud jobs are:
What states have the most Online Fraud jobs? States with the most job openings for Online Fraud jobs include:
Online Fraud jobs near you
Infographic showing various Online Fraud job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 34% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $47,994 per year, or $23.1 per hour.

Fraud Patterns Analyst

Stripe

Remote

Full-time

Re-posted 10 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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