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Fraud Analyst Jobs in Oregon (NOW HIRING)

DataDome

Fraud Analyst

OR · On-site +1

Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds-letting ...

Upstart

OR · On-site

As a Fraud Analyst, you will own day-to-day fraud detection and investigation for your assigned product line(s). You will investigate suspected fraud across the entire loan life cycle from ...

Stripe

Fraud Patterns Analyst

OR · Remote

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 ...

Sezzle

OR

As a Sr Fraud Analyst specializing in Peer-to-Peer (P2P) and Cash Advance products, you will be on the front lines of protecting Sezzle and our customers from financial loss and malicious activity.

Stripe

OR

You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention strategies at scale. Your ...

UMB Financial

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

The Enterprise Fraud Reporting & Analytics team is responsible for providing fraud reporting and analytics solutions that guide strategic business decisions across the organization. They collect and ...

Impact Payments Recruiting

Senior Risk Data Analyst

Key Responsibilities Analytics & Reporting Develop and maintain dashboards, KPIs, and reporting related to fraud, return rates, chargebacks, transaction performance, and compliance metrics. Analyze ...

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All JobsFraud Analyst JobsFraud Analyst Jobs in Oregon

Fraud Analyst information

See Oregon salary details

$16

$32

$67

How much do fraud analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for fraud analyst in Oregon is $32.44, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $35.82 per hour, depending on experience, location, and employer.

What is the difference between Fraud Analyst vs Compliance Analyst?

AspectFraud AnalystCompliance Analyst
Required CredentialsCertifications like CFE, ACFE, or fraud-specific trainingCertifications such as CRCM, CAMS, or compliance-specific courses
Work EnvironmentFinancial institutions, e-commerce, insurance companiesBanking, finance, healthcare, and regulatory agencies
Employer & Industry UsageFocus on detecting and preventing fraud activitiesFocus on ensuring adherence to laws and regulations

While both Fraud Analysts and Compliance Analysts work within financial and regulated industries, Fraud Analysts primarily focus on identifying and preventing fraudulent activities, whereas Compliance Analysts ensure organizations follow legal and regulatory standards. Both roles require similar certifications and often operate in overlapping environments, but their core responsibilities differ significantly.

What does a fraud analyst do?

As a fraud analyst, your responsibilities are to monitor bank accounts, financial transactions, accounting paperwork, and other financial documents and analyze the data to identify any potential fraudulent activity. Fraud analysts work in several fields, including insurance, municipal, state, and federal law enforcement, finance, and banking, and your duties differ depending on the type of institution or agency for which you work. However, your tasks generally include using sophisticated software to pick up on patterns of behavior by a financial institution, business, or individual.

What qualifications do you need to be a fraud analyst?

A fraud analyst typically needs a bachelor's degree in finance, accounting, criminal justice, or a related field. Strong analytical skills, attention to detail, and experience with data analysis tools or fraud detection software are also important. Certifications such as Certified Fraud Examiner (CFE) can enhance qualifications.

What is the job of a fraud analyst?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to prevent financial losses. They use tools like data analysis software and may need certifications such as Certified Fraud Examiner (CFE) to perform their duties effectively.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary of around $50,000 to $70,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

What are some typical challenges faced by fraud analysts, and how can they be addressed?

Fraud Analysts often deal with the challenge of distinguishing between legitimate and suspicious activities in large volumes of data, which requires keen attention to detail and strong analytical skills. Another common challenge is keeping up with evolving fraud tactics and technologies. To overcome these, analysts regularly participate in ongoing training, leverage advanced detection tools, and collaborate closely with IT and compliance teams. Open communication and knowledge sharing within the team also play key roles in staying ahead of potential threats.

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

To thrive as a Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with fraud detection software, data analysis tools like SQL or Excel, and relevant certifications such as CFE (Certified Fraud Examiner) are commonly required. Strong problem-solving, critical thinking, and effective communication skills help Fraud Analysts investigate suspicious activities and collaborate with other departments. These skills and qualifications are essential for accurately identifying fraudulent behavior, minimizing financial losses, and upholding organizational integrity.

Is fraud analysis a good career?

Fraud analysis is a viable career that involves detecting and preventing financial crimes using data analysis and investigative skills. It often requires knowledge of fraud schemes, analytical tools, and sometimes certifications like Certified Fraud Examiner (CFE). The role offers opportunities for advancement and typically involves a structured work environment with regular hours.

What does a fraud analyst do?

A Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, typically in the banking, finance, or retail sectors. They analyze transactions, monitor accounts for suspicious behavior, and use specialized software to identify patterns that may indicate fraud. Fraud Analysts work closely with other departments and law enforcement agencies to resolve cases and help develop strategies to minimize future risks.
More about Fraud Analyst jobs
What are the most commonly searched types of Fraud Analyst jobs in Oregon? The most popular types of Fraud Analyst jobs in Oregon are:
What are popular job titles related to Fraud Analyst jobs in Oregon? For Fraud Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Fraud Analyst jobs in Oregon look for? The top searched job categories for Fraud Analyst jobs in Oregon are:
What cities in Oregon are hiring for Fraud Analyst jobs? Cities in Oregon with the most Fraud Analyst job openings:
What are popular job titles related to Fraud Analyst jobs in OR? For Fraud Analyst jobs in OR, the most frequently searched job titles are:
Fraud Analyst jobs near you
Infographic showing various Fraud Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% Internship, 70% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $67,479 per year, or $32.4 per hour.

Fraud Analyst

DataDome

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic-human, bot, or AI. Named a Leader in The Forrester Wave for Bot And Agent Trust Management Q2 2026, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds-letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 80+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories-delivering protection that outperforms.

About the team: Welcome to the DataDome Customer Experience Department! Our mission is to provide a white-glove onboarding experience on Day 1 and ensure customers are properly enabled to operate the product alongside us Day 2 and beyond. Thanks to a fantastic international team, we are extremely proud to deliver a state-of-the-art solution for our clients and contribute to DataDome's worldwide success!

Job overview

You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities across our product line.
Your goal will be to challenge and improve our detection capabilities regarding fraud including account take over, fake subscriptions, etc.

Responsibilities

  • Develop a deep expertise of fraud patterns observed across our customers' traffic
  • Improve the long term quality of our fraud detection across DataDome product line
  • Handle customer requests regarding fraud case analysis and reporting
  • Contribute to the fraud detection product development by acting as a power user, recommend UI evolution, new detection signals, etc.
  • Work with Solution Engineers to capture customers' insights, meet detection performance expectations and inflect the product evolution

 It would be great if...

Must have:

  • Bachelors Degree Required
  • Have a real passion for data exploration and analysis
  • Good communication skills to interact with both technical and non-technical stakeholders
  • Strong time management and priorization skills
  • Master Python and SQL
  • Strong ability to automate things with scripting and AI
  • Experience in cyber security (web threats) or fraud

Nice to have:

  • Implement bots during your spare time
  • Kibana and Elasticsearch usage experience
  • Experience in a technical support role in the past, and willing to discuss directly with product end users

What's in it for you?

  • Fully remote position (US-based) with the flexibility to work from anywhere in+ $500 stipend to help you set up your ideal home workspace.
  • Health Benefits: We offer medical, dental, & vision insurance options to keep you feeling your best.
  • A $100 annual allowance is provided for a leisure activity of your choice in Sports.
  • Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
  • Events & Team building: #We care and we have fun! We organize ****Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
  • Parent Care: Gifts & care packages to celebrate growing families.
  • PTO: 20 paid time off days, 5 sick days and 2 floating holidays ****+ 12 national holidays.
  • 401 K eligibility + matching.

What are the next steps?

  • A Talent Acquisition Specialist will contact you for an initial conversation.
  • You will meet with members of our Research and Data Science Leadership Team.
  • You will complete a technical assessment and present your findings during a peer interview.
  • You will meet with the Head of our Technology Team.
  • The final step will be a one-on-one meeting with Benjamin, our CEO.
  • Welcome to DataDome!

DataDome is an equal-opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

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