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Fraud Detection Machine Learning Jobs in Sunrise, FL

Varsity Tutors

Machine Learning Tutor

Miami Beach, FL · 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

Miami, FL · 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

Miramar, FL · 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

Sunrise, FL · 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

Doral, FL · 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

Hialeah, FL · 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

Cooper City, FL · 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:

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors, from fraud detection to cancer research, to national ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors, from fraud detection to cancer research, to national ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Sunrise, FL

Fraud Detection Machine Learning information

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$10

$17

$25

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

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Sunrise, FL is $17.21, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.32 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 cities near Sunrise, FL are hiring for Fraud Detection Machine Learning jobs?

Cities near Sunrise, FL with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Fraud Ops Analyst at NationsBenefits Plantation, FL

Shell Lubricants Hub Hamburg

Plantation, FL • On-site

$60 - $80/hr

Other

Medical

Posted 2 days ago

New

Job description

Company Overview

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.

Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.

We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.

Position Summary

We are seeking a detail-oriented and analytical Fraud Analyst to join our fraud management team. This role is responsible for detecting, investigating, and preventing fraudulent activity across customer accounts, transactions, and access points. The ideal candidate will have a strong understanding of fraud patterns, data analysis, and risk mitigation strategies.

Key Responsibilities
  • Monitor real-time transactions and account activity for suspicious behavior.
  • Analyze fraud alerts and elevate cases based on severity and risk.
  • Investigate potential fraud cases including account takeover, synthetic identities, and transaction anomalies.
  • Collaborate with customer service, compliance, and technology teams to resolve fraud incidents.
  • Maintain and enhance fraud detection rules, scoring models, and dashboards.
  • Document findings and contribute to fraud reporting and trend analysis.
  • Support onboarding of new clients by assessing fraud risk and recommending controls.
  • Participate in the development of fraud playbooks and escalation protocols.
Qualifications
  • Bachelor’s degree in Criminal Justice, Finance, Data Analytics, or related field.
  • 2+ years of experience in fraud detection, investigation, or risk analysis.
  • Familiarity with fraud detection tools, machine learning models, and case management systems.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Experience with SQL, Excel, or data visualization tools is a plus.
Preferred Skills
  • Knowledge of e-commerce, financial services, or digital identity verification.
  • Experience with synthetic identity detection and account takeover prevention.
  • Understanding of velocity limits, IP monitoring, and behavioral analytics.
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