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Software Engineer Fraud Detection Jobs in Renton, WA

Senior Program Manager - Fraud and Risk

Bellevue, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... detection and prevention strategies. Responsibilities include driving cross-functional fraud prevention programs, partnering closely with Product, Engineering, Operations, Customer Service, and ...

Senior Program Manager - Fraud and Risk

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... detection and prevention strategies. Responsibilities include driving cross-functional fraud prevention programs, partnering closely with Product, Engineering, Operations, Customer Service, and ...

Senior Product Manager - Fraud & Risk

Seattle, WA · On-site

$173 - $243/hr

  • Medical

  • Dental

  • Vision

  • PTO

Lead collaboration with engineering, data science, and analytics to build or buy real‑time, low‑latency fraud detection and risk‑scoring systems, including AI/ML‑driven anomaly detection ...

Senior Product Manager - Fraud & Risk

Seattle, WA · On-site

$173 - $243/hr

  • Medical

  • Dental

  • Vision

  • PTO

Lead collaboration with engineering, data science, and analytics to build or buy real ‑ time, low ‑ latency fraud detection and risk ‑ scoring systems, including AI/ ML ‑ driven anomaly ...

Showing results 21-40

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 19, 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:

Senior Program Manager - Fraud and Risk

Chewy

Bellevue, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Our Opportunity:

Chewy’s mission is to be the most trusted and convenient destination for pet parents and partners everywhere. We view pets (and pet parents) as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. 

Fraud and Risk is a core part of Chewy’s Identity domain, protecting customer accounts and transactions while enabling secure, reliable e-commerce experiences. 

Chewy is hiring a Senior Program Manager - Fraud and Risk to join our team in Bellevue, WA or Boston, MA. In this role, you will lead Fraud & Abuse initiatives, leveraging analytics, machine learning, and customer insights to develop and operationalize effective detection and prevention strategies. Responsibilities include driving cross-functional fraud prevention programs, partnering closely with Product, Engineering, Operations, Customer Service, and Payments teams, and managing critical third-party fraud prevention partnerships. The successful candidate has a proven track record of delivering complex initiatives, excels in stakeholder management, and is a strong advocate for customers. 

This is a high-impact opportunity to lead and scale Chewy’s fraud prevention program across a complex, highly cross-functional environment. You will operate at the intersection of customer experience, risk mitigation, and operational excellence, delivering measurable outcomes that reduce fraud while preserving trust and minimizing friction across the customer journey. 

What You’ll Do:

Drive Fraud Prevention & Risk Programs 

  • Leverage analytics, machine learning, and customer insights to develop and operationalize fraud detection and prevention strategies. 

  • Design and evolve fraud prevention approaches that balance risk mitigation with a positive customer experience. 

  • Proactively identify and address risks before program launches. 

  • Use qualitative and quantitative insights to continuously improve fraud detection, prevention, and customer trust. 

Drive Program Strategy & Planning 

  • Translate business objectives, fraud trends, and customer needs into actionable program plans and measurable outcomes. 

  • Partner with Product, Engineering, Operations, Customer Service, and business stakeholders to align priorities, sequencing, and execution plans. 

  • Establish program goals, success metrics, and operating mechanisms to track progress and business impact. 

  • Drive alignment around priorities, trade-offs, risks, and dependencies across multiple teams. 

Lead Cross-Functional Delivery 

  • Lead planning and execution of fraud and abuse initiatives across multiple teams and organizations. 

  • Drive implementation and execution in partnership with Payments, Operations, and Customer Service teams. 

  • Manage dependencies, risks, and mitigation plans across complex initiatives. 

  • Drive delivery from planning through implementation, ensuring initiatives achieve intended business outcomes. 

  • Ensure clear communication of results, risks, issues, and key decisions to stakeholders and leadership. 

Operational Ownership 

  • Own day-to-day fraud operations and risk health across Chewy. 

  • Act as the escalation point for active fraud incidents, emerging threats, and abuse patterns. 

  • Drive rapid response and mitigation strategies during high-severity events. 

  • Balance long-term program priorities with immediate operational needs and business risk. 

Deliver Scalable, Data-Driven Risk Mitigation 

  • Manage critical third-party relationships for fraud prevention. 

  • Build deep expertise in applications impacting fraud detection and prevention. 

  • Identify risks across systems, processes, and customer journeys and drive mitigation strategies. 

  • Create scalable mechanisms and operational processes that improve program effectiveness and visibility. 

  • Ensure fraud prevention initiatives are measurable and continuously improving based on performance data and evolving threats. 

Collaborate and Lead Through Influence 

  • Serve as a leader for Fraud and Abuse Prevention across Chewy, providing progress updates to leadership and stakeholders. 

  • Partner cross-functionally with Product, Engineering, Customer Service, Payments, and business stakeholders. 

  • Drive alignment with business owners, project leaders, and team members. 

  • Influence decisions and drive outcomes across teams without direct authority. 

  • Operate independently while keeping leaders informed at critical decision points. 

What You’ll Need:

Experience & Background 

  • 6+ years of program or product management, with prior work in e-commerce fraud prevention. 

  • Bachelor’s degree in business administration, finance, operations management, or a related quantitative field, or equivalent experience. 

Program Leadership & Execution 

  • Demonstrated expertise in fraud prevention and e-commerce, including leading complex cross-functional initiatives. 

  • Experience balancing customer experience with risk mitigation in high-scale environments. 

  • Proven ability to translate business objectives into actionable plans, milestones, and measurable outcomes. 

  • Experience managing dependencies, risks, and competing priorities across multiple teams. 

Communication & Stakeholder Leadership 

  • Excellent written and verbal communication skills, along with the ability to manage time-sensitive tasks with attention to detail. 

  • Strong stakeholder management skills, particularly with leadership, and the ability to drive initiatives from conception to completion. 

  • Ability to translate complex data, fraud signals, and technical concepts into clear insights and recommendations. 

Data, Detail & Judgment 

  • Proficient in analyzing and effectively communicating metrics to support recommendations. 

  • Strong analytical mindset with the ability to use data to inform decisions and prioritize effectively. 

  • Detail-oriented while maintaining focus on outcomes, customer trust, and business impact. 

Bonus:

  • Experience working with machine learning models or advanced analytics in fraud detection. 

  • Experience managing third-party fraud vendors or risk platforms. 

  • Background in large-scale e-commerce, identity, risk, or payments ecosystems. 

The base salary range for this role is $129,500 - $207,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011