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Fraud Detection Machine Learning Jobs in Marietta, GA

Varsity Tutors

Machine Learning Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Marietta, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Woodstock, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Atlanta, GA · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Visa

Sr Director - Card Risk Solutions

Atlanta, GA · On-site

Your future team produces industry leading machine learning models and decision systems whose ... the fraud detection systems in the region. As Featurespace continues to grow worldwide, this ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics. * Contributions ...

Worldpay, Inc.

Fraud Prevention Analyst II

Atlanta, GA · On-site

If you're ready to start learning, growing and making an impact with a career in fintech, we'd like ... Knowledge of fraud detection tools, behavioral analytics, device intelligence, or account takeover ...

FIS

Fraud Prevention Analyst II

Atlanta, GA · On-site

If you're ready to start learning, growing and making an impact with a career in fintech, we'd like ... Knowledge of fraud detection tools, behavioral analytics, device intelligence, or account takeover ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

Implement model observability, monitoring, and drift detection to ensure production reliability. * Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to ...

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Fraud Detection Machine Learning information

See Marietta, GA salary details

$10

$17

$25

How much do fraud detection machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for fraud detection machine learning in Marietta, GA is $17.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $18.22 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Marietta, GA?

For Fraud Detection Machine Learning jobs in Marietta, GA, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Marietta, GA look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Marietta, GA are:

What cities near Marietta, GA are hiring for Fraud Detection Machine Learning jobs?

Cities near Marietta, GA with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Atlanta, GA • Hybrid

ATLANTICUS
Finance and Insurance • 201 - 500 employees
Learn more about ATLANTICUSexternal

Full-time

Re-posted 18 days ago

Job description

Job Description 

  • Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst)  
  • Location: Atlanta, GA (Hybrid)
  • Department: Risk Management/Fraud Prevention 

Responsibilities: 

  • Develop and implement fraud detection models using advanced analytics and machine learning techniques. 
  • Monitor real-time transaction data to identify and flag potentially fraudulent activities. 
  • Conduct root cause analysis of fraud incidents and recommend preventive measures. 
  • Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes. 
  • Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments. 
  • Ensure compliance with regulatory requirements and industry standards related to fraud prevention. 
  • Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities. 

Qualifications: 

  • Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field. 
  • 5+ years of experience in fraud analytics, data analysis withat least 3 being in transaction fraud, preferable credit cards. 
  • Should have experience in working on Fiserv related systems. 
  • Proficiency in data analytics tools such as SQL, Python, R, or SAS. 
  • Experience with transaction monitoring systems and fraud detection platforms. 
  • Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes. 
  • Excellent problem-solving, analytical, and communication skills. 
  •  Needs experience with Advance Defense Edge

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