ZipRecruiter

Log In

1

Fraud Detection Machine Learning Jobs in Bloomfield, NJ

Taptap Send

Head of Fraud

Manhattan, NY · On-site

$180 - $280/hr

Leverage data analytics to enhance fraud detection, transaction monitoring, and identity ... Hands‑on experience with analytics, machine learning models, and automation tools. * Strong ...

CLEAR - Corporate

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 ...

Taptap Send

Head of Fraud

New York, NY · On-site

Leverage data analytics to enhance fraud detection, transaction monitoring, and identity ... Hands-on experience with analytics, machine learning models, and automation tools. * Strong ...

CLEAR - Corporate

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 ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Implement and maintain robust monitoring systems to track model performance, detect drift, and ...

IDT

Senior Risk Analyst

Newark, NJ · On-site

$150K/yr

... 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 ...

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 ...

J.P. Morgan

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 ...

Nvidia

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.

previous page

Showing results 41-60

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Bloomfield, NJ

Fraud Detection Machine Learning information

See Bloomfield, NJ salary details

$11

$18

$27

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 Bloomfield, NJ is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.66 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 cities near Bloomfield, NJ are hiring for Fraud Detection Machine Learning jobs?

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

Fraud Detection Machine Learning jobs near you

Head of Fraud

Taptap Send

Manhattan, NY • On-site

$180 - $280/hr

Other

Posted 21 days ago

Job description

About Us

We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services.

Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.

We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.

Here’s a little more:

  • Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
  • Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
  • Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
  • Truly global team - 250+ people, 50+ nationalities, 50+ languages
  • Guided by our values - ownership, impact, humility, and heart - in deed, not just word
Role

We are looking for an experienced Head of Fraud to own and lead Taptap Send’s fraud strategy, ensuring our customers and business remain protected from financial crime and abuse. The ideal candidate is a strategic thinker with hands‑on experience in analytics and operations responsible for owning and driving improvements to a key metric. We’re looking for someone with a background in fast-moving startups, with bonus points for fintech and fraud experience.

You will develop and execute fraud prevention frameworks, optimize risk detection models, and collaborate with cross‑functional teams to continuously improve our fraud defenses while minimizing friction for legitimate users.

This role will play a critical part in driving growth while ensuring Taptap Send remains a trusted and secure platform.

Responsibilities
  • Develop and implement a comprehensive fraud prevention strategy to detect, mitigate, and prevent fraudulent activities, balancing security with a seamless user experience
  • Leverage data analytics to enhance fraud detection, transaction monitoring, and identity verification processes
  • Collaborate with compliance, product, and engineering teams to ensure fraud controls align with regulatory requirements and user experience expectations
  • Lead and scale fraud operations with tools, automation and data-driven insights to combat emerging fraud patterns effectively
  • Stay ahead of evolving fraud tactics and regulatory trends, working with industry partners to strengthen the company’s anti‑fraud capabilities
  • Develop and grow the fraud team as we scale to new users, geographies and products
Requirements
  • 8+ years of experience owning outcomes in an analytics and operations-intensive function (ideally fraud but not strictly necessary).
  • Proven track record of building and scaling fraud prevention or similar programs in high-growth environments.
  • Hands‑on experience with analytics, machine learning models, and automation tools.
  • Strong background in data‑driven decision‑making, with proficiency in SQL strongly preferred.
  • Bonus points for fintech experience.
Personal Attributes
  • High ownership and ability to operate in a fast-paced, high-accountability environment.
  • Seeks out opportunities to unlock value by working harder and going further than others might.
  • Recognizes challenges, accepts them as reality, and proactively proposes solutions.
  • Willingness to travel periodically to meet with key stakeholders.
Also you are
  • Outgoing - you love speaking to people and enjoy building meaningful relationships
  • Execution Oriented - we have an ‘impact first’ philosophy and a lot to get done. You should be able to take an idea to implementation
  • Mission Oriented - you are passionate about working for a net positive organisation / tech for good
  • Organised - you have a system for how you approach your work that can keep you on track in a scrappy startup environment
  • Driven - you thrive in a fast-paced, target oriented company
Taptap Values

Impact first

Team next

Accept reality

Propose solutions

Win with grit

Be proactively candid, with yourself and others

Love the particular

Own it

Create positive energy

Maybe, even have fun

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.

If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.

Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

#J-18808-Ljbffr

Apply