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Fraud Monitoring Jobs in Florida (NOW HIRING)

Aquent

Fraud Analytics & Strategy Manager

Jacksonville, FL · On-site

$64 - $67/hr

... performance monitoring, versioning, and annual reviews. * Query large-scale datasets using ... Partner closely with Fraud Policy, Operations, Product, and IT teams to align fraud strategies with ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring * Advanced Power BI expertise ...

Bank OZK

VP, Fraud Prevention Manager

Clearwater, FL · On-site

$122K - $156K/yr

Ensures timely and accurate alert resolution, monitoring of fraud systems and queues, and provides guidance on complex alerts to maintain efficient, compliant, and effective fraud prevention ...

Bank OZK

VP, Fraud Prevention Manager

Clearwater, FL · On-site

$122K - $156K/yr

Ensures timely and accurate alert resolution, monitoring of fraud systems and queues, and provides guidance on complex alerts to maintain efficient, compliant, and effective fraud prevention ...

BNY

Specialist, Client Processing II

Lake Mary, FL · On-site

... fraud monitoring. In this role, the Specialist II will support day-to-day processing and operational activities across key BTS functions, helping to ensure accuracy, timeliness, strong controls, and ...

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How much do fraud monitoring jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for fraud monitoring in Florida is $22.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $25.34 per hour, depending on experience, location, and employer.

What are the most common challenges faced in a fraud monitoring role, and how can I prepare for them?

One of the most common challenges in Fraud Monitoring is keeping up with the constantly evolving tactics used by fraudsters, which requires ongoing learning and adaptability. You may also face high-volume workloads, especially during peak times or when new scams emerge, making time management and prioritization important. Collaborating closely with investigation teams, IT departments, and customer service is typical, so strong communication skills are helpful. To prepare, stay updated on industry trends, familiarize yourself with current detection tools, and continually refine your analytical skills.

Is fraud analysis a good career?

Fraud analysis is a growing field within financial and security industries, focusing on detecting and preventing fraudulent activities. It often requires skills in data analysis, attention to detail, and familiarity with fraud detection tools. The role can offer stable employment and opportunities for advancement, especially with relevant certifications and experience.

What qualifications do I need to work in fraud monitoring?

Fraud monitoring roles typically require a high school diploma or equivalent, with many employers preferring a bachelor's degree in finance, accounting, or a related field. Strong analytical skills, attention to detail, knowledge of fraud detection tools, and familiarity with databases or software like Excel or SQL are important. Certifications such as Certified Fraud Examiner (CFE) can enhance job prospects.

What are the key skills and qualifications needed to thrive in the fraud monitoring position, and why are they important?

To thrive in Fraud Monitoring, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often bolstered by a degree in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools (like Excel or SQL), and, at times, certifications such as CFE (Certified Fraud Examiner) are valuable. Effective communication, problem-solving abilities, and a proactive mindset are standout soft skills for this role. These competencies are essential to accurately detect, prevent, and report fraudulent activity, safeguarding organizational assets and reputation.

What is a fraud monitoring?

A Fraud Monitoring job involves analyzing transactions and activities to detect and prevent fraudulent activities. Professionals in this role use fraud detection tools, monitor account behavior, and investigate suspicious patterns. They collaborate with risk management teams to mitigate potential threats and ensure compliance with security protocols. Strong analytical skills, attention to detail, and knowledge of fraud prevention techniques are essential for this role.

What are the most commonly searched types of Fraud Monitoring jobs in Florida?

The most popular types of Fraud Monitoring jobs in Florida are:

What are popular job titles related to Fraud Monitoring jobs in Florida?

For Fraud Monitoring jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Fraud Monitoring jobs in Florida look for?

The top searched job categories for Fraud Monitoring jobs in Florida are:

Fraud Monitoring jobs near you
Infographic showing various Fraud Monitoring job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $47,694 per year, or $22.9 per hour.

Fraud Analytics & Strategy Manager

Aquent

Jacksonville, FL • On-site

$64 - $67/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

Placement Type:
Temporary
Salary:
$64-67 Hourly
$65-67 / hourly as W2
Start Date:
Aug 24, 2026
Aquent is partnering with a global leader in the financial services industry, a company at the forefront of innovation, dedicated to securing digital transactions and fostering economic growth worldwide. This organization plays a pivotal role in shaping the future of payments, enabling seamless and secure commerce for millions of consumers and businesses. By joining this team, you will contribute to a mission-critical function that directly safeguards the integrity of financial systems and protects customers from evolving threats, making a tangible impact on global financial security.
Are you ready to become a pivotal force in the fight against financial crime? We are seeking a dynamic and analytical professional to join a cutting-edge team focused on Fraud Analytics, Modeling, and Intelligence. In this high-impact role, you won't just be analyzing data; you'll be designing, implementing, and scaling sophisticated, data-driven fraud strategies that directly protect consumer, small business, and commercial portfolios. Your expertise will be crucial in navigating an ever-changing threat landscape, leveraging advanced analytics to detect emerging patterns, optimize decision engines, and mitigate complex attacks. This is your opportunity to be the critical bridge between data, strategy, policy, and risk management, safeguarding both the firm and its vast customer base.
Key Responsibilities
  • Design, test, and implement robust fraud mitigation rules and authorization governance strategies across decisioning systems, ensuring adherence to strict change-control standards.
  • Serve as a primary lead for Fraud Model Risk, collaborating with modelers, external vendors, and internal validators throughout the model lifecycle, including validation, ongoing performance monitoring, versioning, and annual reviews.
  • Query large-scale datasets using analytical tools to identify behavioral patterns, assess rule performance, and translate raw data into actionable insights for executive leadership.
  • Package comprehensive analysis into technical documentation that meets regulatory guidelines and industry standards, presenting model validation findings to senior management and supervisory authorities as required.
  • Partner closely with Fraud Policy, Operations, Product, and IT teams to align fraud strategies with business growth, technology roadmaps, and incident management protocols.
  • Research and evaluate new data sources, analytical tools, and technology capabilities to continuously enhance fraud detection architecture and process efficiencies.

Must-Have Qualifications
  • Education: Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Economics, Data Science, or a related field).
  • Experience: 5+ years of experience in fraud strategy, quantitative analytics, or risk management within financial services.
  • Technical Mastery:
    • Intermediate to advanced proficiency in SAS or SQL for complex data manipulation, strategy monitoring, and performance assessments.
    • Strong hands-on proficiency in Excel for data modeling and reporting.
    • Experience working within Big Data environments (e.g., Python, Hive, Impala) and performing mathematical/statistical analysis on large datasets.
  • Model Governance Experience: Demonstrated familiarity with model development, production deployment, and model risk governance frameworks.
  • Communication & Influence: Proven ability to translate complex analytical findings into executive-ready presentations and interface confidently with regulatory auditors and senior leaders.

Nice-to-Have Qualifications
  • Master's Degree in a quantitative or technical field.
  • 2+ years of direct experience in the payments industry, particularly with associated fraud vectors.
  • Track record of driving cross-functional initiatives and managing system incident responses in a fast-paced environment.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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