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Non Union Remote Fraud 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 ... Experience creating data visualizations and dashboards and presenting findings to technical and non ...

RELX

Sr. Fraud Data Analyst

Alpharetta, GA · On-site +1

$94K - $157K/yr

This role can be remote in the US with the ability to support EST as needed. Responsibilities ... non-technical stakeholders * Self-motivated and adaptable , with the ability to work both ...

ESL Federal Credit Union

Fraud Investigator

Rochester, NY · Remote

$80K - $101K/yr

This position is remote eligible for up to 40% of the time. The shift is typically Monday - Friday ... Collect and analyze evidence, document findings, and make determinations on fraudulent activities ...

Spokeo

Business Analyst, Payments and Fraud

Pasadena, CA · On-site +1

$103K - $132K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Payments & Fraud Analytics * Support and enhance the development of payments and fraud KPIs ...

Umusic

Streaming Fraud Data Research & Analyst

Nashville, TN · On-site +1

$61K - $118K/yr

This role can be based out of any of our US or European office locations or remote. How You'll ... Comfortable translating technical findings into clear, actionable recommendations for non-technical ...

Zions Bank

Fraud Investigator - Remote

Midvale, UT · On-site +1

$46K - $62K/yr

We are currently seeking a Fraud Investigator to join our team. This is a remote role. What you'll ... Good analytical skills, customer service and communication skills, both verbal and written.

Umusic

Streaming Fraud Data Research & Analyst

New York, NY · On-site +1

$61K - $118K/yr

This role can be based out of any of our US or European office locations or remote. How You'll ... Comfortable translating technical findings into clear, actionable recommendations for non-technical ...

Zionsbank Corp

Fraud Investigator - Remote

Midvale, UT · Remote

$46K - $62K/yr

We are currently seeking a Fraud Investigator to join our team. This is a remote role. What you'll ... Good analytical skills, customer service and communication skills, both verbal and written.

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How much do non union remote fraud analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for non union remote fraud analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What is the difference between Non Union Remote Fraud Analyst vs Non Union Remote Fraud Investigator?

AspectNon Union Remote Fraud AnalystNon Union Remote Fraud 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 such as CFE or ACFE
Work EnvironmentRemote, office-based, or hybrid; primarily analytical and investigative tasksRemote or field-based; focuses on in-depth investigations and case resolution
Employer & IndustryFinancial institutions, insurance companies, e-commerce firmsFinancial services, insurance, retail, and law enforcement agencies

Both roles involve fraud detection and investigation, often requiring similar credentials and working remotely. The main difference lies in scope: Fraud Analysts typically analyze data and identify suspicious activity, while Fraud Investigators conduct in-depth investigations and gather evidence for legal action.

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Non Union Remote Fraud Analyst jobs near you
Fraud Patterns Analyst

Fraud Patterns Analyst

Stripe

Remote

Full-time

Posted 11 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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