1

Fraud Detection Jobs in Remote, OR (NOW HIRING)

Determine the likelihood of cases being true error/fraud, based on real-life experience. * Validate and help to tune anomaly detection algorithms. Requirements * Hands-on experience exploring and ...

Quality Manager

Sutherlin, OR · On-site

$115K - $130K/yr

... implemented to detect defect early (Wiring errors, Torque settings, cable routing) * Lead ... fraud protection. *100% paid by ADS. WORKING CONDITIONS: Primarily indoor office environment.

... implemented to detect defect early (Wiring errors, Torque settings, cable routing) * Lead ... fraud protection. *100% paid by ADS. WORKING CONDITIONS: Primarily indoor office environment.

Quality Manager

Sutherlin, OR · On-site

$115K - $130K/yr

... implemented to detect defect early (Wiring errors, Torque settings, cable routing) Lead ... theft and fraud protection. *100% paid by ADS.WORKING CONDITIONS:Primarily indoor office ...

Fraud Detection information

See Remote, OR salary details

$10

$18

$26

How much do fraud detection jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for fraud detection in Remote, OR is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.23 per hour, depending on experience, location, and employer.

What is a fraud detection job?

A Fraud Detection job involves identifying and preventing fraudulent activities in financial transactions, online activities, or business operations. Professionals in this role analyze data, monitor transactions, and use advanced tools to detect suspicious behavior. They work closely with risk management teams to develop fraud prevention strategies and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud detection techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in fraud detection?

To thrive in Fraud Detection, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, databases, and data analysis tools, along with certifications such as Certified Fraud Examiner (CFE), is highly valuable. Outstanding communication, critical thinking, and problem-solving abilities help professionals excel when collaborating across departments or investigating suspicious activities. These skills and qualifications are essential for effectively spotting risks, minimizing financial losses, and ensuring organizational integrity.

What are some common challenges faced by professionals in fraud detection roles?

Professionals in Fraud Detection often face the challenge of keeping up with rapidly evolving fraud tactics and constantly changing regulations. The role can require quick decision-making and meticulous analysis under tight deadlines, especially when investigating transactional anomalies. Collaboration with legal, compliance, and IT teams is common, as fraud prevention typically involves multiple departments working together. Staying updated on new schemes and maintaining vigilance is crucial to successfully protecting an organization from financial loss.

How can I become a fraud detection specialist?

To become a fraud detection specialist, candidates typically need a bachelor's degree in finance, accounting, or a related field, along with strong analytical skills and attention to detail. Relevant experience in finance, banking, or cybersecurity, as well as familiarity with fraud detection tools and data analysis software, is often required. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects in this field.

How hard is it to become a fraud detection?

Becoming a fraud detection professional typically requires a strong understanding of financial transactions, data analysis skills, and knowledge of fraud schemes. Many roles prefer candidates with a background in finance, cybersecurity, or related fields, along with certifications such as Certified Fraud Examiner (CFE). The difficulty depends on the level of position and prior experience, but developing relevant skills and gaining industry knowledge can facilitate entry into the field.

What qualifications do I need to work in fraud detection?

Fraud detection professionals typically need a bachelor's degree in fields such as finance, accounting, computer science, or related areas. Strong analytical skills, knowledge of fraud schemes, and familiarity with data analysis tools or software are important; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

What are popular job titles related to Fraud Detection jobs in Remote, OR?

For Fraud Detection jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Fraud Detection jobs in Remote, OR look for?

The top searched job categories for Fraud Detection jobs in Remote, OR are:

Infographic showing various Fraud Detection job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $37,511 per year, or $18 per hour.

Bluespine-Sr. FWA Analyst

OR • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Description
Bluespine is an innovative new startup in the health-IT domain. By employing cutting-edge technologies, Bluespine is developing an engine that detects errors in medical billing, which causes billions of dollars in losses across the entire industry. Bluespine can offer personalized precision by tailoring assessments to each unique medical claim, considering the relevant provider, payer, and plan, and ensuring unparalleled accuracy.
We are looking for a Sr. FWA Analyst experienced in discovering medical billing errors and fraudulent billing patterns of medical claims for commercial payers.
Responsibilities
  • Proactively identify potential instances of fraud, waste, and abuse through data analysis using company systems and tools
  • Support engineering and data science teams with audit and FWA concepts, data mapping, and defining data requirements
  • Determine the likelihood of cases being true error/fraud, based on real-life experience.
  • Validate and help to tune anomaly detection algorithms.

Requirements
  • Hands-on experience exploring and investigating potential medical billing errors/fraud using analytic and SQL/graph-based tools.
  • Extensive knowledge of medical terminology, medical records, health information management, medical coding, DRG methodologies, CPT/HCPCS coding guidelines, physician specialty guidelines, reimbursement programs, claims adjudication processes, member contract benefits, regulatory agency policies (CMS/HCFA, DOI, state regulations), and provider billing systems and practices.
  • Strong analytical skills and ability to approach tasks in a scientific manner.
  • Background in SIU or Payment Integrity.
  • Independent, Organized, and with excellent communication skills.

Advantages
  • Medical/clinical background.
  • Experience with Pharma claims.
  • Billing/coding experience.