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Fraud Associate information

See Arkansas salary details

$7

$14

$22

How much do fraud associate jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for fraud associate in Arkansas is $14.17, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $15.91 per hour, depending on experience, location, and employer.

What does a fraud associate do?

A Fraud Associate is responsible for detecting, investigating, and preventing fraudulent activities within an organization, typically in the financial or retail sectors. They monitor transactions, analyze data for suspicious patterns, and work closely with other departments to resolve potential fraud cases. Additionally, Fraud Associates may communicate with customers to verify account activity and assist law enforcement with investigations. Their goal is to minimize financial losses and protect the company and its clients from fraud.

What are the key skills and qualifications needed to thrive as a fraud associate, and why are they important?

To thrive as a Fraud Associate, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools, and relevant certifications such as CFE (Certified Fraud Examiner) are often required. Excellent communication, critical thinking, and problem-solving abilities help you effectively investigate suspicious activity and work with cross-functional teams. These skills are vital to accurately identify and mitigate fraudulent activities, protecting the organization and its clients from financial loss.

What are some typical challenges a fraud associate faces when investigating suspicious transactions?

Fraud Associates often encounter challenges such as distinguishing between genuine customer behavior and fraudulent activity, especially when dealing with sophisticated scams. Balancing the need for thorough investigation with the urgency to minimize customer disruption can also be demanding. Additionally, keeping up with evolving fraud tactics and leveraging new detection technologies requires continuous learning and adaptability. Collaboration with other departments, like customer service and IT, is essential to ensure accurate and timely resolution of cases.

Is working in a fraud associate role a good career?

A fraud associate role can be a good career for individuals interested in finance, security, and investigation, as it involves analyzing transactions, identifying suspicious activity, and using tools like fraud detection software. It offers opportunities for skill development, certifications, and advancement into supervisory or specialized positions. The role often provides a stable work environment with potential for growth in the financial and cybersecurity sectors.

What qualifications do I need to work in a fraud associate?

A fraud associate typically needs a high school diploma or equivalent, with some roles preferring a bachelor's degree in finance, accounting, or a related field. Strong analytical skills, attention to detail, and familiarity with fraud detection tools or software are important, along with good communication skills. Certifications such as Certified Fraud Examiner (CFE) can enhance qualifications, and prior experience in finance or customer service may be beneficial.

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

The most popular types of Fraud jobs in Arkansas are:

What are popular job titles related to Fraud Associate jobs in Arkansas?

For Fraud Associate jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Fraud Associate jobs in Arkansas look for?

The top searched job categories for Fraud Associate jobs in Arkansas are:

Fraud Associate jobs near you
Infographic showing various Fraud Associate job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $29,476 per year, or $14.2 per hour.

Data Scientist III - Fraud Analytics & Machine Learning

Sam's Club

Greenland, AR • On-site

Full-time

Posted 23 days ago

Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 2,024 frontline employees who took The Breakroom Quiz

16th of 39 rated national retailers

Job description

Position Summary... What you'll do...Fraud Analytics & Machine Learning | Walmart Global Tech Help Shape the Future of Retail Intelligence

Every day, millions of customers trust Walmart to deliver a seamless shopping experience. Behind that experience is one of the world's largest and most sophisticated commerce ecosystems—and protecting it from fraud requires exceptional data scientists.

As a Data Scientist III on the Inkiru Data Science team, you'll transform billions of data points into intelligent solutions that identify fraud, reduce risk, and protect both customers and the business. You'll partner with engineers, product managers, and business leaders to build analytics and machine learning solutions that directly influence decisions at global scale.

If you're energized by solving complex problems, uncovering meaningful insights, and seeing your work deployed into production, we'd love to meet you.

Why This Role Matters

Fraud evolves every day—and so do we.

Our team combines advanced analytics, statistical modeling, machine learning, and AI to stay ahead of emerging threats while delivering a seamless experience for customers and associates.

Your work won't sit in a report.

It will power real products, influence strategic decisions, and help protect one of the largest retailers in the world.

What You'll Do

You'll make an impact by:

  • Detecting emerging fraud trends using large-scale behavioral, transactional, and operational data.

  • Building analytical models that improve fraud detection, risk management, and business decision-making.

  • Creating intuitive dashboards and visualizations that help leaders quickly understand key business metrics.

  • Partnering closely with Product, Engineering, Data Science, and Business teams to bring analytical solutions into production.

  • Exploring new analytical techniques—including machine learning and AI—to solve evolving business challenges.

  • Improving data quality through validation, governance, and scalable analytical processes.

  • Communicating complex findings through compelling storytelling that drives action.

What You'll Work With

You'll leverage modern technologies including:

  • Python

  • SQL

  • Spark

  • Hive

  • BigQuery

  • Distributed computing platforms

  • Tableau

  • Power BI

  • Machine Learning frameworks

  • Cloud-scale analytics platforms

  • AI-assisted analytics and modern data science workflows

Why You'll Love This Team

You'll join a collaborative team that values curiosity, experimentation, and continuous learning.

Here you'll have opportunities to:

  • Solve problems at one of the largest scales in retail.

  • Work with experienced data scientists and machine learning engineers.

  • Influence product strategy with data-driven insights.

  • Build solutions that move from concept into production.

  • Learn new technologies while working on meaningful business challenges.

  • Grow your career through mentorship, leadership opportunities, and cross-functional collaboration.

What Success Looks Like

Within your first year, you'll:

  • Deliver analytical solutions that influence fraud strategy.

  • Build trusted relationships across Product, Engineering, and Business teams.

  • Create scalable dashboards and reporting used by leadership.

  • Improve fraud detection through innovative analytical approaches.

  • Contribute to production-ready data science solutions that create measurable business value.

What You'll Bring

We're looking for someone who combines technical excellence with curiosity and business acumen.

Preferred qualifications include:

  • Strong analytical and statistical problem-solving skills.

  • Experience working with large, complex datasets.

  • Proficiency in SQL and Python (R is also welcome).

  • Experience with distributed computing technologies such as Spark, Hive, or BigQuery.

  • Familiarity with data visualization tools including Tableau, Power BI, or Looker.

  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

  • Passion for solving ambiguous problems using data.

  • Bachelor's degree in a STEM field with 3+ years of relevant experience, or a Master's degree with 1+ years of experience.

Bonus Points If You Have

  • Experience in fraud analytics, financial risk, cybersecurity, or trust and safety.

  • Experience building or deploying machine learning models.

  • Knowledge of experimentation, causal inference, or advanced statistical techniques.

  • Experience with Generative AI, LLMs, or AI-assisted analytics.

  • Experience working in cloud-native data environments.

Why Walmart Global Tech

Technology is reshaping how the world shops.

At Walmart Global Tech, you'll help solve problems that few companies can match in complexity or scale. Our teams build products and platforms that serve millions of customers, associates, and suppliers every day.

Here, your work has immediate impact.

You'll have access to world-class data, modern technologies, and talented teammates—all while helping build the future of retail.

Whether your passion is analytics, machine learning, artificial intelligence, or data engineering, you'll find opportunities to learn, innovate, and grow your career.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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