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Sas Fraud Analyst Jobs (NOW HIRING)

Demonstrate and maintain advanced coding and data analysis skills (SAS, SQL) * Collaborate with cross-functional teams to align and improve fraud mitigation efforts. * Lead monthlybusiness reviews ...

Demonstrate and maintain advanced coding and data analysis skills (SAS, SQL) * Collaborate with cross-functional teams to align and improve fraud mitigation efforts. * Lead monthly business reviews ...

Demonstrate and maintain advanced coding and data analysis skills (SAS, SQL) * Collaborate with cross-functional teams to align and improve fraud mitigation efforts. * Lead monthlybusiness reviews ...

Sr. Fraud Analyst

Boston, MA · On-site

$82K - $88K/yr

The Fraud Analyst is responsible for detecting and preventing fraud across assigned project-related ... Knowledge of relational database management systems and experience with SAS and/or SQL. Desirable:

Sr. Fraud Analyst

Boston, MA · On-site +1

$82K - $88K/yr

The Fraud Analyst is responsible for detecting and preventing fraud across assigned project-related ... Knowledge of relational database management systems and experience with SAS and/or SQL. Desirable:

You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with ...

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Senior Fraud Analyst

Washington, DC · On-site

$40 - $45/hr

Job Posting: Fraud Analyst, Senior Must be a U.S. Citizen. Location: Washington, DC (SEC ... SAS preferred. * Advanced MS Excel skills, including pivot tables, VLOOKUPs, and formula-based ...

You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with ...

You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with ...

You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with ...

You will own fraud rule strategies for one or more products, leveraging SAS, SQL, Python, and other analytical tools to design, test, implement, and optimize fraud controls. Working closely with ...

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Sas Fraud Analyst information

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$49

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How much do sas fraud analyst jobs pay per hour?

As of Aug 27, 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 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.

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.

Do I need a degree to be a Sas Fraud Analyst?

A degree is not always required to become a SAS Fraud Analyst, but many employers prefer candidates with a bachelor's degree in fields like finance, computer science, or related areas. Relevant skills such as data analysis, knowledge of SAS software, and experience with fraud detection are often more important than formal education alone.

How much does a Sas Fraud Analyst get paid?

A SAS Fraud Analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and the size of the organization. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial or tech sectors where fraud detection skills are in demand.

Is it hard to become a Sas Fraud Analyst?

Becoming a SAS Fraud Analyst typically requires a strong understanding of data analysis, fraud detection techniques, and proficiency in SAS software. Relevant skills, certifications, and experience in financial or security environments can facilitate entry into the role, but the difficulty varies based on individual background and job market conditions.
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What states have the most Sas Fraud Analyst jobs?

States with the most job openings for Sas Fraud Analyst jobs include:

What job categories do people searching Sas Fraud Analyst jobs look for?

The top searched job categories for Sas Fraud Analyst jobs are:

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 75% In-person, and 25% Remote job distribution, with an average salary of $103,758 per year, or $49.9 per hour.

Contractor

Re-posted 13 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.