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Software Engineer Fraud Detection Jobs (NOW HIRING)

Roblox

Senior Software Engineer - Fraud

San Mateo, CA

$139K - $183K/yr

As an Economy Fraud engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior. You Have: * 4+ years of professional ...

BNY Mellon

Fraud Hub Lead Engineer

Manhattan, NY · On-site

$113K - $148K/yr

This role serves as the firmwide engineering authority for Fraud detection, prevention, and ... Qualifications & Experience Required * 10+ years of software engineering experience, with at least ...

Flagstar Bank

Check Fraud Detection Analyst

Troy, NY · On-site

$19.34 - $31.22/hr

Understanding of common fraud types (e.g., phishing, account takeover, social engineering, etc ... Familiarity with fraud detection systems and banking platforms (e.g., DNA, Nautilus, Salesforce ...

Roblox

Senior Software Engineer - Fraud

San Mateo, CA · On-site

$196K - $243K/yr

As an Economy Fraud engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior. You Have: * 4+ years of professional ...

BNY

Fraud Hub Lead Engineer

Manhattan, NY · On-site

$112K - $148K/yr

... fraud detection, prevention, and response platforms while driving AI-first solutions ... Required : • 10+ years of software engineering experience, with at least 5 years delivering Fraud ...

BNY

Fraud Hub Lead Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

Required : • 10+ years of software engineering experience, with at least 5 years delivering Fraud ... detection, or real-time risk decisioning. • Demonstrated success leading and scaling global ...

BNY

Director, Fraud Hub Lead Engineer

New York, NY

This role serves as the firmwide engineering authority for Fraud detection, prevention, and ... Qualifications & Experience Required * 10+ years of software engineering experience, with at least ...

BNY

Director, Fraud Hub Lead Engineer

Manhattan, NY

This role serves as the firmwide engineering authority for Fraud detection, prevention, and ... Qualifications & Experience Required * 10+ years of software engineering experience, with at least ...

FM Talent Source

AI/ML Software Engineer

Silver Spring, MD · On-site

$113 - $188/hr

AI/ML Software Engineer Non-SCA, Full-time US Salary Range: $113,000.00 To $188,000.00 Annually We ... fraud detection, trafficking detection, and other mission-critical investigative use cases. A ...

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All JobsSoftware Engineer Fraud Detection Jobs

Software Engineer Fraud Detection information

See salary details

$24K

$104.9K

$189K

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

As of Aug 8, 2026, the average yearly pay for software engineer fraud detection in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 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.

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 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.

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.
More about Software Engineer Fraud Detection jobs
What cities are hiring for Software Engineer Fraud Detection jobs? Cities with the most Software Engineer Fraud Detection job openings:
What states have the most Software Engineer Fraud Detection jobs? States with the most job openings for Software Engineer Fraud Detection jobs include:
What job categories do people searching Software Engineer Fraud Detection jobs look for? The top searched job categories for Software Engineer Fraud Detection jobs are:
Software Engineer Fraud Detection jobs near you
Infographic showing various Software Engineer Fraud Detection job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Senior Software Engineer - Fraud

Roblox

San Mateo, CA

$139K - $183K/yr

Full-time

Re-posted 23 days ago

Job description

As an Economy Fraud engineer, you defend Roblox from all types of fraud, including theft, scams, money laundering, and payment fraud.

Roblox is a high-growth, unique product environment. You will be developing anti-fraud and abuse solutions for web, mobile, and 3D environments. This high impact work and your innovation is critical for the well-being of our community and to the future of our company. We aim for our users to have peace of mind that their communities and transactions are protected. Our defenses also protect our company's rapid expansion and safeguard billions in revenue. Roblox's virtual marketplace handles over 4 million transactions a day, and enables our top developers to make millions of dollars a year.

Our team's challenges are not just regular day-to-day technical challenges. Fraud and abuse approaches need to shift over time, depending on the current behaviors of fraudsters. As an Economy Fraud engineer, you will be in a data-driven environment developing both classical and novel approaches to detect and prevent this bad behavior. 

You Have:

  • 4+ years of professional experience working with scalable, distributed systems
  • Strong experience in large-scale, data-driven architecture, API design, data modeling, and SQL / NoSQL data storage.
  • Experience in risk prevention, machine learning, or analytical work. Risk prevention may include but is not limited to anti-Fraud, anti-Abuse, or Trust & Safety. Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical Modeling, or Research.
  • Passion for delivering products end-to-end, from ideation through implementation and A/B testing, while being empathetic with cross-functional stakeholders.
  • Strong ownership with proactive, candid communication, and an ability to handle high complexity
  • Bachelor's Degree or above in Computer Science or another quantitative field

You Will:

  • Develop backend services, fraud platform components, and pipelines to implement product logic, encourage eng efficiency, and produce features for ML models.
  • Be a Tech Lead that contributes to our Technical Roadmap and Risk Defense strategy.
  • Up-level our data mining and data-driven approaches.
  • Occasionally perform data analysis to understand our Fraud & Abuse domain.
  • Occasionally bridge communication between generalist backend engineers, and data scientists and ML engineers.
  • Help recruit future talent for the team

Apply