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Fraud Detection Machine Learning Jobs in Florida

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 41-60

Fraud Detection Machine Learning information

See Florida salary details

$8

$13

$20

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

As of Jul 24, 2026, the average hourly pay for fraud detection machine learning in Florida is $13.49, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $14.38 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 Florida? For Fraud Detection Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Florida look for? The top searched job categories for Fraud Detection Machine Learning jobs in Florida are:
What cities in Florida are hiring for Fraud Detection Machine Learning jobs? Cities in Florida with the most Fraud Detection Machine Learning job openings:
Senior Compliance & Risk Analytics Analyst

Senior Compliance & Risk Analytics Analyst

Orlando Utilities Commission

Orlando, FL

Other

Posted 3 days ago


Job description

Job Purpose:

Leads and collaborates with team members to strengthen internal control and risk management frameworks by driving the design, implementation, and automation of data-driven, second-line compliance testing and risk monitoring programs. Conducts enterprise-wide and departmental process reviews, risk assessments, and control evaluations, delivering actionable insights and recommendations to senior management. Leverages advanced data analytics and emerging technologies to identify risks, compliance issues, and anomalies, while partnering with cross-functional teams to enhance risk awareness, improve control effectiveness, and support continuous improvement initiatives that strengthen the organization's overall risk posture.

Primary Functions:

  • Lead enterprise-wide and departmental risk identification, risk assessments, and control evaluations.
  • Serve as subject matter expert in the design, implementation, and automation of data-driven compliance testing, risk monitoring, and reporting programs to address evolving business activities, risks, controls, and strategic initiatives.
  • Partner with and advise business leaders in establishing key risk indicators (KRIs) and key performance indicators (KPIs) to monitor risks, drive business decisions, and evaluate management effectiveness.
  • Apply advanced data analytics techniques and technologies, including machine learning and generative AI, to detect and predict emerging risks, quantify risk exposure, and identify compliance issues, fraudulent activities, and anomalies.
  • Evaluate the adequacy and effectiveness of internal controls through detailed and complex process reviews, documentation analysis, and targeted compliance testing.
  • Lead the maintenance and enhancement of risk registers and the internal control database, including mapping internal controls to corresponding enterprise-level risks.
  • Investigate and resolve errors and discrepancies in testing logics, risk and performance metrics, risk scoring methodologies, and data models to improve accuracy and reliability.
  • Develop clear and concise reports and presentations to communicate findings, risk analyses, and recommendations to stakeholders at all levels of the organization.
  • Advise business leaders and management on risk management practices, fraud prevention techniques, mitigation strategies, and control enhancements.
  • Coach, guide, and mentor Analysts.
  • Develop and deliver policies, procedures, and training materials to promote governance, risk awareness, and support compliance initiatives across the organization.
  • Lead the development of analyses, operational reports, dashboards, and performance metrics to support business decision-making, enhance risk awareness, and ensure compliance with internal standards.
  • Perform additional duties and support other compliance and risk management-related initiatives as assigned.