1

Permanent Fraud Monitoring Jobs (NOW HIRING)

... process of permanent creativity. At Richemont Americas, we aspire to reflect the ever-changing ... Lead fraud risk assessments, scenario planning, and monitoring of fraud indicators. Internal ...

Showing results 21-40

Permanent Fraud Monitoring information

See salary details

$15

$30

$63

How much do permanent fraud monitoring jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for permanent fraud monitoring 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 is the difference between Permanent Fraud Monitoring vs Fraud Analyst?

AspectPermanent Fraud MonitoringFraud Analyst
CredentialsTypically requires certifications like CFE or ACFE, relevant experienceSimilar certifications, often entry to mid-level roles
Work EnvironmentContinuous monitoring in financial institutions or e-commerce companiesAnalyzing fraud patterns, investigating incidents, reporting findings
Employer & IndustryFinancial services, banking, e-commerceFinancial institutions, retail, online platforms

Permanent Fraud Monitoring focuses on ongoing surveillance to prevent fraud in real-time, while Fraud Analysts investigate specific incidents and analyze fraud trends. Both roles require similar certifications and work in related environments, but their core responsibilities differ in scope and daily tasks.

More about Permanent Fraud Monitoring jobs
What cities are hiring for Permanent Fraud Monitoring jobs? Cities with the most Permanent Fraud Monitoring job openings:
What are the most commonly searched types of Fraud Monitoring jobs? The most popular types of Fraud Monitoring jobs are:
What states have the most Permanent Fraud Monitoring jobs? States with the most job openings for Permanent Fraud Monitoring jobs include:
Infographic showing various Permanent Fraud Monitoring job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon

Redmond, WA • On-site

Full-time

Re-posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,084 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Role
As a Senior Applied Scientist in Project Leo, you'll be leading us in making critical and time sensitive decisions that impact customers

You'll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it's an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It's fast paced, data driven, and impactful.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S

permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
The position requires hands-on expertise in Analytics to identify and isolate issues, Statistical Modeling and traditional Machine Learning, the ability to write queries to aid in data extraction, and the ability to productionalize models. This role is a self sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment

You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves creating business impact, loves solving difficult problems and doesn't mind getting involved in the details.
A day in the life
As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities. You will have the opportunity to develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse

Your role will also allow you to leverage your customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large-scale data, we offer ample opportunities to do so.
About the team
The Amazon Leo Data Science Platform team builds services to ingest, transform, and aggregate data from various devices in Leo Network, and auto detect, diagnose, and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US