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Fraud Detection Machine Learning Jobs in Freehold, NJ

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... detection * End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way ...

Charlie Health

Staff Machine Learning Engineer

New York, NY · Remote

$175K - $255K/yr

Design, train, and evaluate machine learning models and AI systems that drive meaningful business ... Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities ...

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.

Barclays

Analytics AVP US

New York, NY · On-site

$110K - $155K/yr

Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing ...

Clearview AI, Inc.

Senior Machine Learning Engineer

New York, NY · Remote

$114K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our mission is to help our users solve crimes and prevent financial fraud with the responsible use ... Senior Machine Learning Engineer Position Summary: We are hiring a highly technical individual ...

Current

Senior Software Engineer, Applied ML

New York, NY · On-site

$200K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection ...

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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 15, 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:

Fraud Detection Machine Learning jobs near you

Machine Learning Engineer

WireScreen

New York, NY • On-site

$150K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

WireScreen is a fast-growing Series A startup bringing clarity to one of the world's most complex business landscapes. We're building the go-to intelligence platform for navigating global supply chains and China-related risk-revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove obstacles, and make confident decisions.
Backed by Sequoia Capital and Harpoon Ventures, our team includes a two-time Pulitzer Prize-winning journalist and senior engineers from Google, Twitter, and Oracle. We launched just three years ago and already have strong traction with top-tier government customers-and we're just getting started. If you're excited to make global systems more transparent and secure, now's the perfect time to join us.
About The Role:
As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph. These systems are the cornerstones that uncover hidden connections within the Chinese economy. You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities. You will be working with engineering, product and research to expand our AI toolkit, scaling our data ingestion processes, building analytics and insights into our platform at a scale not previously achievable.
Reporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities.
What You'll Do:
  • Fine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China
  • Expand our knowledge graph with alternative data to map out the power structure of China
  • Train, test and deploy ML models that operate on tens of millions of records daily
  • Work with Product to define and implement evaluation harnesses for classical ML and agentic systems
  • Build agent workflows into internal tools to improve the scale and speed of our Research team
What we're looking for:
  • 4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection
  • End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.
  • Significant experience with python programming and SQL
Nice to have:
  • Experience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks
  • Working on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems
  • Experience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes
  • Early-stage startup experience (Series B or earlier)
  • B2B SaaS experience
    #LI-LG1
What You'll Love About Wirescreen
At WireScreen, you'll do high-impact work that helps shape the global economy and power competition. We're a mission-driven team with a growth mindset-curious, collaborative, and unafraid to take on bold challenges. You'll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters.
Benefits & Perks
At WireScreen, we care deeply about our team and are committed to supporting your well-being-both in and out of the workplace. Here's how we take care of our employees:
  • Competitive compensation including salary, equity, and rapid growth potential
  • 100% company-paid Medical, Dental, and Vision coverage for employees
  • FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement
  • Generous paid time off plus company-wide holidays to help you rest and recharge
  • Pre-tax commuter benefits to help you save on transit and parking
  • Hybrid office schedule designed to give you flexibility while staying connected with your team

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