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Software Engineer Fraud Detection Jobs in Georgia

Own and support fraud detection and prevention strategies across the fraud lifecycle * Manage and ... account takeover, social engineering, payment fraud, mule activity, first-party fraud, and ...

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... to fraud detection, prevention or root cause analysis Collect, prepare and maintain data for ... software skills Effective verbal and written communication skills Basic database and presentation ...

... to fraud detection, prevention or root cause analysis Collect, prepare and maintain data for ... software skills Effective verbal and written communication skills Basic database and presentation ...

... to fraud detection, prevention or root cause analysis Collect, prepare and maintain data for ... software skills Effective verbal and written communication skills Basic database and presentation ...

... to fraud detection, prevention or root cause analysis Collect, prepare and maintain data for ... software skills Effective verbal and written communication skills Basic database and presentation ...

Machine Learning Engineer

Atlanta, GA · On-site

$130 - $185/hr

Openings › Software › Machine Learning Engineer Software Machine Learning Engineer Atlanta, US ... and fraud detection. You will work at the intersection of data engineering and applied research ...

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We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the ... As a Professional Software Engineer in the Customer Success Department, you will serve as a ...

Senior Software Engineer

Atlanta, GA · On-site

$138 - $181.65/hr

THE POSITION Our roster has an opening with your name on it Our Fraud Prevention service is part of ... As a Senior Software Engineer, you will work in empowered, multidisciplinary teams, autonomously ...

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As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

... Software based on reader feedback demonstrating its across-the-board success with customers in the three core areas of Client Gartner Magic Quadrant Leaders Quadrant for 2011 Web Fraud Detection Fast ...

As a Sr. Software Engineer in Norcross, GA , you will join a diverse, passionate team, dedicated to ... fraud and risk. We combine our global footprint with a local presence to drive the real-time ...

Software Engineer III

Atlanta, GA · On-site

$65 - $70/hr

W2 Software Engineer III (.Net, C#) Location: Birmingham, MA/ Atlanta, GA/ Charlotte, NC Duration ... Test installed software to detect malfunctions. * Identify and resolve business systems issues.

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Software Engineer Fraud Detection information

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.
What are popular job titles related to Software Engineer Fraud Detection jobs in Georgia? For Software Engineer Fraud Detection jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Georgia look for? The top searched job categories for Software Engineer Fraud Detection jobs in Georgia are:
What cities in Georgia are hiring for Software Engineer Fraud Detection jobs? Cities in Georgia with the most Software Engineer Fraud Detection job openings:
Infographic showing various Software Engineer Fraud Detection job openings in Georgia as of August 2026, with employment types broken down into 9% Internship, 73% Full Time, 9% Part Time, and 9% Nights. Highlights an 64% In-person, 9% Hybrid, and 27% Remote job distribution.

Director, Real-Time Fraud Platform Engineering (Atlanta)

Pindrop

Atlanta, GA • On-site

$218K - $262K/yr

Full-time

PTO

This job post has expired today. Applications are no longer accepted.


Job description

Pindrop is seeking a Director of Software Engineering to lead its Protect platform, a critical component in real-time fraud detection. The role involves setting engineering strategies and developing strong technical teams in a remote-first environment.

The ideal candidate will have over 8 years of engineering experience, with a solid track record in handling distributed systems and cloud-native technologies. The position offers a competitive salary ranging from $218,000 to $262,000 and includes various benefits such as Unlimited Paid Time Off and regular team events.

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