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Sas Fraud Analyst Jobs (NOW HIRING)

US Bank

Fraud Risk Analyst

Minneapolis, MN · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

US Bank

Fraud Risk Analyst

Cincinnati, OH · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

US Bank

Fraud Risk Analyst

Tempe, AZ · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

U.S. Bank

Fraud Risk Analyst

Minneapolis, MN · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

US Bank

Fraud Risk Analyst

Irving, TX · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

US Bank

Fraud Risk Analyst

Fargo, ND · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

US Bank

Fraud Risk Analyst

Charlotte, NC · On-site

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

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How much do sas fraud analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for sas fraud analyst in the United States is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.65 per hour, depending on experience, location, and employer.

What does a SAS Fraud Analyst do?

A SAS Fraud Analyst uses SAS software and analytical techniques to detect, investigate, and prevent fraudulent activities in financial transactions or other business processes. They analyze large datasets to identify suspicious patterns, develop fraud detection models, and provide actionable insights to minimize risk. Their role often involves working closely with compliance, IT, and business teams to implement controls and ensure regulatory compliance.

What are some common challenges faced by SAS Fraud Analysts when investigating suspicious activity, and how are these typically addressed?

SAS Fraud Analysts often encounter challenges such as rapidly evolving fraud tactics, handling large volumes of complex data, and distinguishing legitimate transactions from fraudulent ones. To address these, analysts leverage SAS analytics tools to automate the detection process, continuously update fraud rules, and collaborate closely with IT, compliance, and customer service teams. Ongoing training and staying current with industry trends are also vital to effectively spot new fraud patterns and mitigate risks.

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

To thrive as a SAS Fraud Analyst, you need strong analytical skills, a solid background in statistics or data science, and experience with SAS programming, typically supported by a relevant degree. Proficiency in SAS software, data mining tools, and knowledge of fraud detection systems or frameworks is commonly required, and certifications in SAS can be advantageous. Attention to detail, critical thinking, and effective communication are vital soft skills for analyzing complex data and conveying findings to stakeholders. These skills are crucial for accurately identifying fraudulent activities, minimizing risk, and ensuring organizational integrity.
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Sas Fraud Analyst jobs near you
Infographic showing various Sas Fraud Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $103,758 per year, or $49.9 per hour.

SAS Fraud Analyst

BizTek People, Inc. | APA International Placement Consultants

Atlanta, GA • On-site

Contractor

Re-posted 23 days ago

Job description


Our client is looking for a skilled SAS Fraud Analyst role for a 6-month contract opportunity with complete Remote work schedule. This position offers a competitive hourly pay rate, and candidates must have the legal right to work in the US without sponsorship. Interested? Details below:
The successful candidate will be responsible for identifying and analyzing patterns of fraudulent activity, developing, and implementing fraud prevention strategies, and reporting on fraud trends.
SAS Fraud Analyst Key Responsibilities
• Conduct analysis of data using SAS software to identify fraudulent activity and patterns.
• Investigate and report on potential fraud cases, including reviewing transactions, customer behavior, and other relevant data sources.
• Collaborate with cross-functional teams to develop and implement fraud prevention strategies.
• Monitor fraud related KPIs and provide regular reporting on trends and patterns to key stakeholders.
• Identify new and emerging fraud risks and recommend proactive measures to mitigate these risks.
• Conduct ad-hoc analyses and data mining exercises to support fraud investigations and other business needs.
• Stay up to date on industry best practices and emerging trends related to fraud detection and prevention.
Requirements
SAS Fraud Analyst Requirements
• Bachelor's degree in a related field, such as Statistics, Mathematics, Computer Science, or a related discipline.
• Minimum of 3 years of experience in SAS Fraud Analytics
• Strong analytical skills and the ability to identify patterns and trends in complex data sets.
• Knowledge of fraud prevention tools and techniques.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and present findings to key stakeholders.
• Strong attention to detail and the ability to prioritize and manage multiple projects simultaneously.
• Experience with SQL and other programming languages is a plus.

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