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Software Engineer Fraud Detection Jobs in Georgia

Tturn transaction, dispute, and case data into fraud-rate trends and KPI reporting (detection rate ... social engineering, velocity abuse, first-party misuse) and the controls that mitigate each.

... and fraud detection. The work matters and the stakes are real. What You'll Work On * Admin Tools ... Strong engineering culture - enforced coverage thresholds, pre-commit hooks, CI gates, deployment ...

Sr. Data Engineer

Alpharetta, GA · On-site

$128K - $216K/yr

Job Title Sr. Data Engineer About the role: You will play a key role in designing and building ... that support fraud detection and risk management. You will architect high-performance data ...

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 ...

New

... 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 ...

... the fraud detection systems in the region. As Featurespace continues to grow worldwide, this ... the software engineering and ML Ops practices required to achieve this at scale. Beyond the ...

... the fraud detection systems in the region. As Featurespace continues to grow worldwide, this ... the software engineering and ML Ops practices required to achieve this at scale. Beyond the ...

Sr Software Engineer

Decatur, GA · On-site

$101K - $169K/yr

The Senior Software Engineer applies secure software engineering principles to the design ... Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance ...

Sr Software Engineer

Decatur, GA · On-site

$101K - $169K/yr

The Senior Software Engineer applies secure software engineering principles to the design ... Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance ...

Sr Software Engineer

Redan, GA · On-site

$101K - $169K/yr

The Senior Software Engineer applies secure software engineering principles to the design ... Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance ...

Sr Software Engineer

Vinnings, GA · On-site

$101K - $169K/yr

The Senior Software Engineer applies secure software engineering principles to the design ... Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance ...

Sr Software Engineer

Smyrna, GA · On-site

$101K - $169K/yr

The Senior Software Engineer applies secure software engineering principles to the design ... Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance ...

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Software Engineer Fraud Detection information

What does a Software Engineer in 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 in 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 in 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 July 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.
Fraud Monitoring Analyst

Fraud Monitoring Analyst

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Equifax rating

7.6

Company rating: 7.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking a Fraud Monitoring Analyst to monitor, analyze, and investigate interactions to identify suspicious behavior or attempted fraudulent access to Equifax consumer-facing systems. This critical role executes on strategic fraud prevention and detection solutions, leveraging machine learning and automation to minimize the risk and exposure of Equifax data.
As a vital line of defense integral to our business goals, you will actively engineer next-generation fraud monitoring tooling using AI. This includes partnering with technical teams to tune AI-driven fraud models, providing critical feedback loops on false positives to refine machine learning accuracy, and identifying automation opportunities to drastically increase detection speed. The ideal candidate thrives on new challenges and possesses the agility to build, adapt, and scale detection techniques in a highly dynamic threat environment.
This position is based out of our Alpharetta, Georgia office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This position is not open to third-party vendors or C2C.
In person interviews are required.
What you will do
  • Reviews transactions within Equifax's suite of products and services to identify fraudulent and/or inappropriate access of data.
  • Identify and implement automation opportunities within manual review workflows to increase detection speed and accuracy.
  • Reviews security monitoring systems and reports to identify suspicious patterns that warrant further investigation.
  • Partner with technical teams to tune AI-driven fraud models, providing feedback on "False Positives" to refine machine learning accuracy.
  • Reviews and investigates escalations indicative of inappropriate access while adhering to all applicable SLAs.
  • Establishes regular reporting and recommendations on improvements realized through analysis of best practices.
  • Independently prioritize and organize work to meet deadlines and deliver quality results with minimal direction from others.

What experience you need
  • 2+ years of experience with fraud detection or related fraud/security data analysis.
  • Bachelor's in a related field.
  • Familiarity with AI/ML- the ability to develop and create detection techniques.
  • Technological understanding of and experience with leveraging data systems to deliver actionable results.
  • Experience using automation tools or basic scripting (e.g., Python, SQL, or Advanced Excel macros) to streamline data collection and reporting.
  • Ability to make quick, accurate and consistent decisions about data indicators.
  • Advanced understanding of Excel/Google spreadsheets.
  • Results-driven achiever with exemplary planning and organizational skills, along with a high degree of detail orientation.

What could set you apart
  • Past experience in Data Analytics or Data Science.
  • Ability to define and identify patterns of activity.

#LI-Hybrid
#LI-KD1
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Security Governance and Compliance
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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