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Software Engineer Fraud Detection Jobs in Renton, WA

Microsoft

Principal Software Engineer Manager

Redmond, WA · On-site

$188K - $304K/yr

Experience with service compliance and trust, including GDPR, privacy, fraud detection, and ... DJOBS Software Engineering M5 - The typical base pay range for this role across the U.S. is USD ...

ProRata

Principal Software Engineering Manager

Bellevue, WA · On-site +1

$220K - $260K/yr

We are looking for a Principal Software Engineering Manager (Tech Lead) to play a foundational role ... Design and implement scalable reporting, analytics, and fraud detection systems to maintain ...

Stripe

Machine Learning Engineer, Radar

Seattle, WA · On-site

Strong software engineering skills and ability to design ML solutions through entire product stack * Experience applying ML to fraud detection, risk modeling, or a closely related domain * Experience ...

Stripe

Machine Learning Engineer, Radar

Seattle, WA · On-site

Strong software engineering skills and ability to design ML solutions through entire product stack * Experience applying ML to fraud detection, risk modeling, or a closely related domain * Experience ...

Stripe

Machine Learning Engineer, Radar

Seattle, WA · On-site

Strong software engineering skills and ability to design ML solutions through entire product stack * Experience applying ML to fraud detection, risk modeling, or a closely related domain * Experience ...

Visa Hunt

Machine Learning Engineer, Radar

Seattle, WA · On-site

$180 - $240/hr

Strong software engineering skills and ability to design ML solutions through entire product stack * Experience applying ML to fraud detection, risk modeling, or a closely related domain * Experience ...

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All JobsSoftware Engineer Fraud Detection JobsSoftware Engineer Fraud Detection Jobs in Renton, WA

Software Engineer Fraud Detection information

See Renton, WA salary details

$27K

$118K

$212.6K

How much do software engineer fraud detection jobs pay per year?

As of Aug 17, 2026, the average yearly pay for software engineer fraud detection in Renton, WA is $117,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $135,000.00 per year, depending on experience, location, and employer.

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

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

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What job categories do people searching Software Engineer Fraud Detection jobs in Renton, WA look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Renton, WA are:

Software Engineer Fraud Detection jobs near you

Software Engineer (Technical Leadership)

Meta

Bellevue, WA

$271K/yr

Full-time

Re-posted 11 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer (Technical Leadership) Responsibilities:
  • Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
  • Effectively communicate complex features & systems in detail.
  • Understand industry & company-wide trends to help assess & develop new technologies.
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
  • Suggest, collect and synthesize requirements and create an effective feature roadmap.
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects with industry-wide impact.
  • Experience communicating and working across functions to drive solutions.
  • Experience in mentoring/influencing engineers across organizations.
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
  • Experience in driving large cross-functional/industry-wide engineering efforts.
  • 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.

Preferred Qualifications:
  • Experience in shipping products to millions of customers or have started a new line of product.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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