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Fraud Detection Machine Learning Jobs in Freehold, NJ

Data Architect

Berkeley, NJ · On-site

$59 - $76/hr

Architect scalable, secure, high-performance data solutions for fraud detection and risk management ... machine learning models. * Establish data governance practices covering metadata, lineage, quality ...

Machine Learning Engineer II

New York, NY · On-site

$180K - $220K/yr

  • Medical

  • Retirement

As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation ... fraud detection. * Develop and implement robust data pipelines at a variety of scales, including ...

Fraud AI/ML Platform Product Director

New York, NY · On-site

$254K - $266K/yr

  • Medical

  • Retirement

Strong technical fluency across applied machine learning, data systems, and production constraints ... Experience productizing graph features/embeddings or graph ML for fraud ring detection, network ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... Build production models for anomaly detection, predictive maintenance and usage optimization.

... fraud detection systems across a diverse and growing portfolio of merchants. You'll work across ... Continuous learning - We challenge each other and constantly improve Why Join Us * Competitive ...

Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...

Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

It's the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing ... Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale.

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

It's the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing ... Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale.

Pre-Sales Consultant

New York, NY · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... and machine learning in fraud detection. Ability to explain technical concepts to non-technical audiences. • Demonstrate expert sales acumen at the enterprise level, including outstanding ...

Showing results 21-40

Fraud Detection Machine Learning information

See Freehold, NJ salary details

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

As of Aug 14, 2026, the average hourly pay for fraud detection machine learning in Freehold, NJ is $18.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.28 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 job categories do people searching Fraud Detection Machine Learning jobs in Freehold, NJ look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Freehold, NJ are:

What cities near Freehold, NJ are hiring for Fraud Detection Machine Learning jobs?

Cities near Freehold, NJ with the most Fraud Detection Machine Learning job openings:

Data Architect

IT America Inc

Berkeley, NJ • On-site

$59 - $76/hr

Contractor

Re-posted yesterday


Job description

Position: Data Architect

Location: Berkeley, NJ (Onsite)

Duration: Long term contract

Role Description:

  • Architect scalable, secure, high-performance data solutions for fraud detection and risk management.
  • Design end-to-end data architectures including ingestion, transformation, storage, governance, lineage, and consumption layers.
  • Build and optimize high-quality data pipelines (ETL/ELT) using Spark, PySpark, and Databricks.
  • Handle structured and semi-structured high-scale datasets ensuring data integrity and quality.
  • Work with data scientists to prepare training datasets, support feature engineering, and operationalize machine learning models.
  • Establish data governance practices covering metadata, lineage, quality rules, and security controls.
  • Drive technology evaluations, POCs, and contribute to the data platform roadmap.
  • Lead deployments across environments ensuring smooth releases and minimal risk.
  • Provide technical leadership, mentor data engineers, and maintain architectural standards across squads.