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Fraud Analytics Jobs in Seattle, WA (NOW HIRING)

Boeing

Transportation Analyst

Seattle, WA · On-site

$87K - $118K/yr

Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion ...

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Data Scientist ll - Digital Intelligence

Seattle, WA · On-site

$140 - $190/hr

Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis. * Build features from large‑scale, high‑cardinality ...

Boeing

Lead Data Governance Technical Analyst

Seattle, WA · On-site

$148K - $215K/yr

Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion ...

Boeing

Lead Data Governance Technical Analyst

Seattle, WA · On-site

$148K - $215K/yr

Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion ...

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Showing results 21-40

All JobsFraud Analytics JobsFraud Analytics Jobs in Seattle, WA

Fraud Analytics information

See Seattle, WA salary details

$17

$34

$72

How much do fraud analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for fraud analytics in Seattle, WA is $34.92, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $38.56 per hour, depending on experience, location, and employer.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

How does a fraud analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

How do I become a fraud analyst?

To become a fraud analyst, typically a bachelor's degree in finance, accounting, or a related field is required. Relevant skills include data analysis, knowledge of fraud detection tools, and familiarity with databases and reporting software; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience through internships or entry-level roles in finance or security is also beneficial.

How much does a fraud analyst get paid?

A fraud analyst's salary typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. Many roles also include benefits such as bonuses and professional development opportunities.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.

What does a fraud analytics do?

A fraud analyst uses data analysis techniques to detect and prevent fraudulent activities within financial transactions or business operations. They analyze large datasets, identify patterns of suspicious behavior, and implement strategies to reduce fraud risk, often using tools like SQL, Excel, or specialized fraud detection software. Strong analytical skills and knowledge of fraud schemes are essential for this role.

What are popular job titles related to Fraud Analytics jobs in Seattle, WA?

For Fraud Analytics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Fraud Analytics jobs in Seattle, WA look for?

The top searched job categories for Fraud Analytics jobs in Seattle, WA are:

Fraud Analytics jobs near you
Infographic showing various Fraud Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

Senior Product Manager - External Services, Marketplace & Agentic Commerce Fraud Prevention, AWS Pay

Amazon

Seattle, WA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Want to protect AWS's payment processing capabilities while driving multi-million-dollar impact to Amazon's bottom line? Join the AWS Payments & Fraud Prevention team as the Senior Product Manager - External Services, where you'll own the fraud prevention strategy for AWS Marketplace and agentic commerce flows.
We're seeking a product leader to own fraud prevention strategy across both AWS Marketplace and agentic commerce-two critical and rapidly evolving domains. You'll architect next-generation fraud prevention for AWS, partnering with data science teams to build and deploy risk evaluation systems that protect traditional marketplace transactions and emerging AI agent-driven commerce flows where conventional account-based controls prove insufficient.
Key job responsibilities
AWS Marketplace Fraud Prevention Own end-to-end fraud prevention strategy for AWS Marketplace. Create risk evaluation systems that analyze buyer/seller registration, behavioral, and transactional signals to enable quick fraud detection. Partner with data science and engineering to continuously improve detection accuracy and reduce fraudulent activity.
Agentic Commerce Fraud Prevention Pioneer fraud prevention for AI agent-driven commerce flows-a greenfield problem space where traditional account-level controls are insufficient. Identify unique risk signals for agent-initiated transactions, build evaluation frameworks that balance fraud prevention with customer friction
Product Strategy & Iteration Drive product evolution through data-driven decision making. Synthesize quantitative performance metrics-fraud rates, chargeback rates, false positive rates, and enforcement accuracy-with qualitative feedback from customers and internal stakeholders to identify improvement opportunities. Define product roadmaps that balance fraud prevention effectiveness with user experience.
Cross-Functional Leadership Partner with Identity, AWS Marketplace, Finance, Legal, and Commerce Platform teams to drive decision making. Influence without authority across engineering, science, and product organizations. Represent Marketplace and agentic commerce fraud prevention efforts in executive-level reviews.
BASIC QUALIFICATIONS
- 5+ years of working as a Technical Product Manager experience
- Experience owning/driving roadmap strategy and definition
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Ability to navigate ambiguity independently and drive clarity where none exists
- Experience using AI tools to accelerate product development, research, and decision-making
PREFERRED QUALIFICATIONS
- Experience in marketplace fraud prevention
- Hands-on experience shipping AI/ML products that solve complex customer problems at scale
- Track record of influencing cross-functional roadmaps across engineering, science, and product teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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