You will also own ARG's relationships with key partners-including Risk, Trust & Safety, Fraud Platform, and Security Engineering. * Lead, develop, and retain a team of threat intelligence analysts ...
You will also own ARG's relationships with key partners-including Risk, Trust & Safety, Fraud Platform, and Security Engineering. * Lead, develop, and retain a team of threat intelligence analysts ...
Senior Data Scientist / Analyst, Fraud & Risk
New York, NY · On-site
$94K - $118K/yr
... trust and safety, or a similar investigative analytical role * Expert SQL. You can pursue a ... Experience building fraud detection rules or models, setting thresholds, evaluating precision and ...
Senior Data Scientist / Analyst, Fraud & Risk
New York, NY · On-site
$94K - $118K/yr
... trust and safety, or a similar investigative analytical role * Expert SQL. You can pursue a ... Experience building fraud detection rules or models, setting thresholds, evaluating precision and ...
ARG Engineering Manager
South San Francisco, CA · On-site
$350 - $520/hr
You will also own ARG's relationships with key partners--including Risk, Trust & Safety, Fraud Platform, and Security Engineering. * Lead, develop, and retain a team of threat intelligence analysts ...
ARG Engineering Manager
South San Francisco, CA · On-site
$350 - $520/hr
You will also own ARG's relationships with key partners--including Risk, Trust & Safety, Fraud Platform, and Security Engineering. * Lead, develop, and retain a team of threat intelligence analysts ...
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)
Fairfax, VA · On-site
$100 - $130/hr
... Cypher, i2 Analyst's Notebook) to identify hidden patterns and complex fraud networks ... A workplace dedicated to supporting and bettering public safety and government agencies Benefits
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)
Fairfax, VA · On-site
$100 - $130/hr
... Cypher, i2 Analyst's Notebook) to identify hidden patterns and complex fraud networks ... A workplace dedicated to supporting and bettering public safety and government agencies Benefits
Software Engineer, Trust & Safety
San Francisco, CA · On-site
$228K - $363K/yr
You'll be the line of defense between our community and the abuse, fraud, and harmful content that ... Experience with building tools, dashboards, statistical analysis, and anomaly detection
Software Engineer, Trust & Safety
San Francisco, CA · On-site
$228K - $363K/yr
You'll be the line of defense between our community and the abuse, fraud, and harmful content that ... Experience with building tools, dashboards, statistical analysis, and anomaly detection
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Experience in fraud analytics, financial risk, cybersecurity, or trust and safety. * Experience building or deploying machine learning models. * Knowledge of experimentation, causal inference, or ...
Safety Fraud Analyst information
See salary details
$14.42 - $19.34
6% of jobs
$19.34 - $24.26
11% of jobs
$26.01 is the 25th percentile. Wages below this are outliers.
$24.26 - $29.17
22% of jobs
The median wage is $33.27 / hr.
$29.17 - $34.09
13% of jobs
$34.09 - $39.01
12% of jobs
$39.01 - $43.92
9% of jobs
$45.46 is the 75th percentile. Wages above this are outliers.
$43.92 - $48.84
9% of jobs
$48.84 - $53.76
6% of jobs
$53.76 - $58.68
5% of jobs
$58.68 - $63.59
4% of jobs
$63.59 - $68.51
3% of jobs
$14
$38
$68
How much do safety fraud analyst jobs pay per hour?
As of Sep 5, 2026, the average hourly pay for safety 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 Safety Fraud Analyst vs Safety Investigator?
| Aspect | Safety Fraud Analyst | Safety Investigator |
|---|---|---|
| Credentials | Typically requires certifications like OSHA, OSHA 30-hour, or industry-specific safety certifications | Often requires similar safety certifications, plus investigative training or law enforcement background |
| Work Environment | Office settings, data analysis, report writing, and compliance monitoring | On-site inspections, interviews, and field investigations |
| Employer & Industry | Insurance companies, corporate safety departments, government agencies | Workplaces, construction sites, or accident scenes in various industries |
Both roles focus on safety compliance, but Safety Fraud Analysts primarily analyze data and detect fraudulent claims, while Safety Investigators conduct field investigations to determine safety violations or incidents. The roles often overlap in safety certifications and industry usage, but differ in their daily tasks and work environments.
How much does a safety fraud analyst get paid?
The average salary for a safety fraud analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often with opportunities for bonuses and overtime.
What does a Safety Fraud Analyst do?
A Safety Fraud Analyst investigates and detects fraudulent activities related to safety claims, insurance, or compliance violations. They analyze data, review reports, and use investigative tools to identify patterns of fraud, helping organizations reduce losses and ensure safety standards are maintained.
What qualifications do you need to be a safety fraud analyst?
A safety fraud analyst typically needs a bachelor's degree in fields such as criminal justice, finance, or a related area. Strong analytical skills, attention to detail, and experience with data analysis tools or software are also important qualifications for this role.
More about Safety Fraud Analyst jobs
What cities are hiring for Safety Fraud Analyst jobs?
Cities with the most Safety Fraud Analyst job openings:
What states have the most Safety Fraud Analyst jobs?
States with the most job openings for Safety Fraud Analyst jobs include:
What job categories do people searching Safety Fraud Analyst jobs look for?
The top searched job categories for Safety Fraud Analyst jobs are:
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 Abuse Research team is dedicated to proactively hunting for emerging abuse vectors and studying complex attacker behaviors. Rather than just reacting to alerts, the team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the underlying product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, they translate their deep research into actionable threat advisories, strategic control recommendations, and regression scenarios that fortify Stripe's defenses.
What you'll do
You will lead the Abuse Research Group (ARG)-a team of threat intelligence analysts, fraud researchers, and detection engineers focused on proactively identifying and mitigating threats to Stripe and our merchants. You will set the research agenda, guiding work across threat actor tracking, hands-on fraud investigations, merchant ecosystem defense, and the detection pipelines that turn findings into production enforcement. You will scale the team through hiring, coaching, and talent development, while serving as a technical advisor on complex investigations. You will also own ARG's relationships with key partners-including Risk, Trust & Safety, Fraud Platform, and Security Engineering.
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
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 Abuse Research team is dedicated to proactively hunting for emerging abuse vectors and studying complex attacker behaviors. Rather than just reacting to alerts, the team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the underlying product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, they translate their deep research into actionable threat advisories, strategic control recommendations, and regression scenarios that fortify Stripe's defenses.
What you'll do
You will lead the Abuse Research Group (ARG)-a team of threat intelligence analysts, fraud researchers, and detection engineers focused on proactively identifying and mitigating threats to Stripe and our merchants. You will set the research agenda, guiding work across threat actor tracking, hands-on fraud investigations, merchant ecosystem defense, and the detection pipelines that turn findings into production enforcement. You will scale the team through hiring, coaching, and talent development, while serving as a technical advisor on complex investigations. You will also own ARG's relationships with key partners-including Risk, Trust & Safety, Fraud Platform, and Security Engineering.
- Lead, develop, and retain a team of threat intelligence analysts, fraud researchers, and detection engineers who thrive at the intersection of adversarial research and engineering
- Set and execute the research agenda across threat actor tracking, fraud investigation, merchant ecosystem defense, and automated detection engineering
- Provide technical depth and analytical judgment on complex investigations, including API key takeovers, account compromise campaigns, and KYC bypass techniques
- Operationalize research findings into production-level detection rules, automated response mechanisms, and cross-functional escalations
- Collaborate with Risk, Trust & Safety, Fraud Platform, and Security Engineering to translate abuse research into proactive platform protections
- Coordinate with external stakeholders, including law enforcement, to disrupt and attribute high-impact threat actors
- Coach and mentor individual contributors to support their career development while maintaining high technical standards
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
- 10+ years of experience leading security engineering or research teams, with a track record of managing technical ICs doing investigative, intelligence, or detection work.
- B.S. or M.S. Computer Science or related field, or equivalent experience in Security
- Experience recruiting, growing, and leading technical teams, including performance management
- Excellent written and verbal communication skills, including the ability to develop and deliver operational or incident-related information to leadership
- Familiarity with fraud and abuse patterns specific to payments and fintech
- Hands-on experience with threat intelligence tradecraft: OSINT, dark web collection, actor attribution, and working with structured intelligence frameworks (ATT&CK, STIX/TAXII, or equivalent)
- Strong understanding of threat actor tactics, techniques, and procedures (TTPs)
- Background in security research, threat intelligence, or fraud detection engineering - prior experience leading or working in teams that study adversary behavior, build detection systems, or operate intelligence programs; experience in payments, fintech, or financial crime is a strong plus.
- Technical fluency across the domains ARG works in - threat intelligence, fraud signal development, detection engineering, and OSINT.
- Experience managing or growing technical research teams, ideally in a domain where the work is investigative, ambiguous, and doesn't map cleanly to sprint velocity.
About Stripe
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2010