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Fraud Detection Machine Learning Jobs in New Jersey

IDT

Senior Risk Analyst

Newark, NJ · Hybrid

$150K/yr

Experience working with fraud detection platforms (e.g., Kount, Sift, or similar). Familiarity with Visa, Mastercard, and NACHA compliance requirements. Experience with machine learning models or ...

exogroup

Payment Risk Specialist

Barnegat, NJ

$104K/yr

  • Medical

Fraud Prevention and Detection: * Lead the development and implementation of advanced fraud and friendly fraud detection and prevention strategies, leveraging data analytics, machine learning, and ...

CURE Auto Insurance

Data Engineer

Princeton, NJ · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering, Machine learning, with strong SQL skills and experience building dimensional or ... Exposure to MLOps/data needs for fraud detection, pricing, or claims severity models is a plus.

Prudential

Specialist, Cyber Enabled Fraud Analyst

Newark, NJ · Hybrid

$96K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expert knowledge of fraud detection tools, alerting systems, and case management platforms ... As you put your skills to use, we'll help you make an even bigger impact with learning experiences ...

Prudential Financial, Inc.

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data ... Model Performance Management: model monitoring, model validation, bias detection, explainability ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data ... Model Performance Management: model monitoring, model validation, bias detection, explainability ...

Autodesk

$111K - $145K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)

Monitise

AI Engineer

Berkeley Heights, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data. * Engineer ...

Conduent, Inc.

App Dev & Support Engineer III

Somerset, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI & Machine Learning Integration * Develop and integrate AI/ML models into POS workflows using Python Implement: * Fraud detection and anomaly detection models * Transaction pattern analysis

Conduent, Inc.

App Dev & Support Engineer III

Somerset, NJ · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI & Machine Learning Integration * Develop and integrate AI/ML models into POS workflows using Python Implement: * Fraud detection and anomaly detection models * Transaction pattern analysis

Databricks

... machine learning platforms. * Experience with public cloud environments such as AWS, Azure, or ... fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT ...

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Fraud Detection Machine Learning information

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

As of Aug 13, 2026, the average hourly pay for fraud detection machine learning in New Jersey is $18.33, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $19.52 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Fraud Detection Machine Learning jobs in New Jersey?

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

What job categories do people searching Fraud Detection Machine Learning jobs in New Jersey look for?

The top searched job categories for Fraud Detection Machine Learning jobs in New Jersey are:

What cities in New Jersey are hiring for Fraud Detection Machine Learning jobs?

Cities in New Jersey with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Senior Risk Analyst

IDT

Newark, NJ • Hybrid

$150K/yr

Full-time

Re-posted yesterday

Job description

About Us

National Retail Solutions (NRS) builds technology that helps small businesses thrive. We provide point-of-sale systems, payments, e-commerce, loyalty, and other tools that empower independent retailers nationwide. NRS PAY is a leader in merchant services, offering cutting-edge payment solutions that empower businesses to grow securely and efficiently. As we expand, we are seeking a detail-oriented and proactive Senior Risk Analyst to join our growing Risk team and to help identify, investigate, and mitigate transaction-related risks. 

Role Overview:

The Senior Risk Analyst role is critical in protecting the business from fraud and financial loss by proactively monitoring transaction trends, flagging suspicious behavior, and contributing to the ongoing development of our risk strategies and tools.

Key Responsibilities:

Monitor merchant and transaction activity in real-time and over time to detect patterns, anomalies, and potential fraud.

Analyze large sets of data to identify risk trends, including chargebacks, returns, and unusual volume spikes.

Create and refine rules, alerts, and reports in risk monitoring tools to flag suspicious behaviors.

Investigate alerts, escalations, and potential fraud cases, documenting findings and making recommendations for next steps.

Collaborate with underwriting, compliance, and operations teams to ensure alignment in risk controls and merchant reviews.

Provide data-driven insights to support decision-making and improve risk strategies.

Help improve internal tools and processes for risk detection and mitigation.

 
 
Requirements:

Minimum 2 years of experience in risk analysis or fraud detection, ideally within the merchant services or payments industry.

Strong analytical skills with experience analyzing transactional data and identifying risk trends.

Deep understanding of payment ecosystems, fraud typologies, chargebacks, and risk scoring systems.

Excellent critical thinking, problem-solving, and communication skills.

Ability to thrive in a fast-paced, high-volume environment.

Preferred Qualifications:

Experience working with fraud detection platforms (e.g., Kount, Sift, or similar).

Familiarity with Visa, Mastercard, and NACHA compliance requirements.

Experience with machine learning models or analytics platforms is a plus.

Comfortable operating in a fast-paced, iterative environment with high ownership and accountability.

Ability to work hybrid from our Newark office three days per week.

$150,000 - $150,000 a year

A few words about us:

IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 2300 team members across 20 countries, and have over $1.5 billion in revenues. 

We are not "another big IT corporation"- we encourage and support in-house entrepreneurs in developing their ideas into business actions.

Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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