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Retail Fraud Analyst Jobs in Florida (NOW HIRING)

... care, retail, consumer goods, and technology. Our collaborative, people-first culture empowers ... Overview Blend is seeking a Fraud Analytics Lead Analyst to support fraud strategy and analytics ...

... care, retail, consumer goods, and technology. Our collaborative, people-first culture empowers ... Overview Blend is seeking a Fraud Analytics Lead Analyst to support fraud strategy and analytics ...

In this role, you will be responsible for data analytics including rule writing to prevent fraud as well as general performance reporting for the FIS Retail Digital Payment Products (Primarily Zelle ...

We partner with some of the largest, most sophisticated retailers and carriers in the world (The ... Analyze fraud vectors across SquareTrade's platform including both first party and third party ...

We partner with some of the largest, most sophisticated retailers and carriers in the world (The ... Analyze fraud vectors across SquareTrade's platform including both first party and third party ...

Analyst

Orlando, FL · On-site +1

... monitoring, fraud investigations, grants management, validations, PMO and controls testing ... Experience preferred within one of our primary focus areas: financial services, retail banking ...

Analyst

Orlando, FL · On-site +1

... monitoring, fraud investigations, grants management, validations, PMO and controls testing ... Experience preferred within one of our primary functional areas: financial services, retail banking ...

A. seeks a/ Model/Analysis/Validation Officer for its Tampa, Florida location. Duties: Apply ... Fraud detection for money laundering/terrorist financing; Customer risk scoring and transaction ...

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Retail Fraud Analyst information

What are some typical challenges faced by a Retail Fraud Analyst, and how can they be addressed?

Retail Fraud Analysts often encounter challenges such as keeping up with rapidly evolving fraud tactics, analyzing large volumes of transactional data, and distinguishing between genuine customer behavior and fraudulent activities. Staying current with the latest fraud trends and leveraging advanced analytics tools can help address these challenges. Collaboration with IT, cybersecurity, and customer service teams is also crucial for comprehensive fraud prevention and timely response to incidents.

What does a Retail Fraud Analyst do?

A Retail Fraud Analyst is responsible for identifying and preventing fraudulent activities within retail operations. They analyze transaction data, monitor suspicious patterns, and investigate irregularities to protect the company from financial losses. Their work often involves collaborating with security teams, law enforcement, and other departments to develop and implement effective fraud prevention strategies. Additionally, Retail Fraud Analysts may train staff on fraud detection methods and help create policies to minimize risk.

What is the difference between Retail Fraud Analyst vs Loss Prevention Specialist?

AspectRetail Fraud AnalystLoss Prevention Specialist
Primary FocusDetecting and analyzing retail fraud patternsPreventing theft and reducing inventory loss
Skills & CertificationsData analysis, fraud detection tools, certifications like CFESurveillance, security protocols, store operations experience
Work EnvironmentOffice-based, data-driven roles, some store visitsStore floors, security teams, surveillance rooms
Industry UsageRetail companies, e-commerce platformsBrick-and-mortar retail stores, malls

While both roles aim to reduce losses, a Retail Fraud Analyst primarily focuses on analyzing data to identify fraud patterns, whereas a Loss Prevention Specialist concentrates on physical security and theft prevention on-site. Both roles are essential in retail security but differ in their methods and daily tasks.

What are the key skills and qualifications needed to thrive as a Retail Fraud Analyst, and why are they important?

To thrive as a Retail Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, criminology, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and knowledge of payment processing systems is typically required. Excellent problem-solving, communication, and critical thinking skills help you interpret data patterns and collaborate with cross-functional teams. These abilities are crucial for identifying fraudulent activities quickly, minimizing financial losses, and maintaining customer trust.
What are popular job titles related to Retail Fraud Analyst jobs in Florida? For Retail Fraud Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Retail Fraud Analyst jobs in Florida look for? The top searched job categories for Retail Fraud Analyst jobs in Florida are:
What cities in Florida are hiring for Retail Fraud Analyst jobs? Cities in Florida with the most Retail Fraud Analyst job openings:
Infographic showing various Retail Fraud Analyst job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Lead Fraud Analyst

Blend360

Jacksonville, FL • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description
Blend360 is an AI-centric consulting firm that helps organizations solve complex business challenges through data, analytics, cloud, and digital transformation. We partner with leading Fortune 500 companies to deliver innovative solutions across industries including financial services, healthcare, retail, consumer goods, and technology. Our collaborative, people-first culture empowers talented professionals to make a meaningful impact while working with cutting-edge technologies and some of the world's most recognized brands.
Job Description
Overview
Blend is seeking a Fraud Analytics Lead Analyst to support fraud strategy and analytics across our financial services clients. In this role, you will leverage data to identify fraud trends, uncover emerging risks, and develop strategies that help prevent fraud across the payments lifecycle.
You will work in a highly collaborative, data-driven environment, partnering with fraud, risk, analytics, and technology teams to improve fraud detection, reduce losses, and strengthen controls against evolving fraud threats.
What You'll Be Doing
  • Analyze large datasets to identify fraud trends, patterns, and emerging risks across payment and card portfolios.
  • Develop and support fraud risk strategies across the full fraud lifecycle, including application fraud, synthetic identity fraud, and account takeover.
  • Translate complex data into actionable insights that drive fraud prevention strategies and business decisions.
  • Partner with Fraud Policy, Operations, Risk, and Technology teams to implement, optimize, and enhance fraud decision strategies.
  • Support the testing, implementation, monitoring, and continuous improvement of fraud decision systems.
  • Create reports, dashboards, and analytical insights to measure strategy performance and identify optimization opportunities.
  • Assist with fraud model monitoring, validation, and performance evaluation within production environments.
  • Document analyses, findings, and recommendations, and present insights to business partners and senior leadership.

Qualifications
Required Experience
  • Hands-on experience in fraud analytics within the payments industry, including credit cards, banking, fintech, or other financial services.
  • Strong analytical background working with large, complex datasets in Big Data environments.
  • Proficiency with data analysis tools such as SQL, Python, SAS, Hive, or similar technologies.
  • Demonstrated ability to identify fraud patterns, trends, anomalies, and actionable insights from complex data.
  • Experience supporting business decisions through data analysis, reporting, and strategic recommendations.

Preferred Qualifications
  • Experience working with fraud models, including model monitoring, validation, or performance evaluation.
  • Familiarity with fraud decision engines, rules-based strategies, or fraud strategy implementation.
  • Exposure to risk management, regulatory, or financial services environments.
  • Excellent communication and presentation skills, with the ability to explain complex analytical findings to both technical and non-technical stakeholders.

Education
  • Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Data Analytics, Finance, or another quantitative field.

What This Role Requires
This is not a general Data Analyst position. Successful candidates will have direct, hands-on experience in fraud analytics within the payments industry and be comfortable working in large-scale, data-intensive environments. You should have a proven ability to leverage data to identify fraud risks, develop actionable insights, and support strategies that reduce fraud losses while improving the customer experience.
Additional Information