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Fraud Analyst Sql Jobs (NOW HIRING)

Sr. Fraud Analyst

Boston, MA ยท 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:

Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting. * Design sophisticated fraud ...

Staff Fraud Analyst

New York, NY ยท On-site

$67K - $89K/yr

Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting. * Design sophisticated fraud ...

Fraud Data Analyst

Richardson, TX ยท On-site +1

$77K - $132K/yr

Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction. * Apply analytical ...

Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction. * Apply analytical ...

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Senior Fraud Analyst

Washington, DC ยท On-site

$40 - $45/hr

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

Fraud Patterns Analyst

OR ยท On-site +1

They should have a deep understanding of fraud patterns and typologies, advanced SQL proficiency, strong analytical abilities, and experience writing and managing fraud rulesets. What you'll do Did ...

Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction. * Apply analytical ...

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 ...

Analytics Analyst - Fraud

Chicago, IL ยท On-site

$63K - $83K/yr

Write customized programs in Python for meaningful data analysis and predictive modeling, and query large, complex datasets in SQL * Partner closely with Fraud Operations through the full detection ...

Showing results 21-40

Fraud Analyst Sql information

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How much do fraud analyst sql jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for fraud analyst sql in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What does a fraud analyst SQL do?

A Fraud Analyst SQL specializes in detecting and preventing fraudulent activities by analyzing large datasets using SQL (Structured Query Language). They gather, interpret, and query data to identify suspicious patterns, trends, or anomalies that could indicate fraud. Their responsibilities often include creating reports, monitoring transactions, and collaborating with other departments to implement anti-fraud strategies. Proficiency in SQL allows them to efficiently extract and analyze relevant data from databases, which is essential for making informed decisions on potential fraud cases.

What are the key skills and qualifications needed to thrive as a fraud analyst SQL?

To thrive as a Fraud Analyst (SQL), you need strong analytical skills, knowledge of fraud detection methodologies, and a background in finance, statistics, or a related field. Expertise in SQL for querying databases and experience with fraud detection tools or systems like SAS, Actimize, or similar platforms are typically required. Attention to detail, problem-solving abilities, and effective communication skills help you identify and convey suspicious activity clearly. These skills are vital for efficiently detecting and preventing fraudulent transactions, protecting company assets, and ensuring regulatory compliance.

How does a fraud analyst SQL typically collaborate with other departments to prevent financial losses?

Fraud Analysts with SQL expertise often work closely with teams such as risk management, IT, and customer service to identify and mitigate fraudulent activities. They use SQL to analyze large data sets, detect unusual patterns, and share actionable insights with these teams. Regular cross-department meetings and data-sharing initiatives are common, ensuring that fraud prevention strategies are both comprehensive and up to date. This collaborative environment helps to quickly address potential threats and implement effective safeguards.

What is the difference between Fraud Analyst Sql vs Fraud Investigator?

AspectFraud Analyst SqlFraud Investigator
Required CredentialsBachelor's degree in finance, accounting, or related field; SQL knowledge often requiredBachelor's degree in criminal justice, law enforcement, or related field; investigative skills emphasized
Work EnvironmentData analysis teams, financial institutions, online platformsLaw enforcement agencies, financial institutions, corporate security
Employer & Industry UsageFinancial services, e-commerce, bankingBanking, insurance, law enforcement

While both roles focus on fraud detection, Fraud Analyst Sql primarily involves analyzing data using SQL to identify suspicious activity, whereas Fraud Investigator conducts in-depth investigations often involving interviews and legal procedures. Both roles require analytical skills, but Fraud Analyst Sql emphasizes technical data analysis, and Fraud Investigator emphasizes investigative techniques.

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

A degree is not always required to become a Fraud Analyst SQL, but many employers prefer candidates with a bachelor's degree in fields like computer science, finance, or related areas. Strong SQL skills, experience with data analysis, and knowledge of fraud detection tools are often more important than formal education. Certifications in data analysis or cybersecurity can also enhance job prospects.

How do you become a fraud analyst?

To become a fraud analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field, along with strong analytical skills and attention to detail. Experience with data analysis tools like SQL, Excel, or fraud detection software is often required, and certifications such as Certified Fraud Examiner (CFE) can enhance job prospects.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary between $50,000 and $70,000, depending on experience, location, and industry. Entry-level positions may start around $40,000, while experienced analysts with specialized skills or certifications can earn over $80,000 annually.

What is the typical career path for fraud analysts?

Fraud analysts often progress to senior analyst, fraud investigation manager, or risk management roles, gaining experience in data analysis, fraud detection tools, and industry regulations. Advancing may involve acquiring certifications like Certified Fraud Examiner (CFE) or developing skills in SQL, data analysis, and fraud prevention strategies.
Infographic showing various Fraud Analyst Sql job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Sr. Fraud Analyst

Blue Star Families

Boston, MA โ€ข On-site, Remote

$82K - $88K/yr

Full-time

Posted 8 days ago


Job description

Business Unit:Cubic Transportation SystemsCompany Details:Cubic offers an opportunity to provide innovative technology for government and commercial customers around the globe, helping to solve their future problems today. We're the leading integrator of payment and information technology and services for intelligent travel solutions worldwide, and the leading provider of realistic combat training systems, secure communications and networking and highly specialized support services for military and security forces of the U.S. and allied nations. If you have an entrepreneurial spirit and thrive in an innovative environment, we want to talk to you about your next role at Cubic! We are seeking employees inspired by technology, and motivated by the rewards of hard work, commitment, teamwork, quality, integrity, and respect. We invite you to explore opportunities with Cubic.Job Details:

Job Summary: The Fraud Analyst is responsible for detecting and preventing fraud across assigned project-related ticketing networks. They conduct daily monitoring activities, investigate cases of actual or suspected fraud, and implement processes to prevent fraudulent activity while minimizing false positives and customer impact. The role involves configuring and maintaining fraud detection systems and collaborating with vendors and stakeholders. The mission is to maximize revenue channels' profitability while minimizing fraud risk. The position requires discretionary decision-making authority.

Essential Job Duties and Responsibilities:

  • Perform daily reviews and analysis to identify fraud cases across all channels.
  • Investigate and resolve cases of actual or potential fraud, identifying root causes and developing solutions.
  • Monitor and analyze data trends to support fraud prevention activities.
  • Configure and maintain fraud detection systems, collaborating with vendors for rule adjustments.
  • Oversee stand-alone database tools for analysis and reporting purposes.
  • Conduct user acceptance testing of system enhancements and changes.
  • Develop and implement reporting on potentially fraudulent activity.
  • Monitor and detect instances of internal and external fraud, implementing control enhancements.
  • Ensure compliance with legal, regulatory, and company policies.
  • Regularly review and improve control processes and procedures.
  • Provide subject matter expertise on fraud monitoring and prevention.
  • Manage internal and external audits related to fraud activities and controls.

Minimum Job Requirements:

  • Bachelor's degree in a business/legal/technology discipline or equivalent experience.
  • Five years of experience in fraud management or business analysis.
  • Understanding of payment processing and fraud prevention processes.
  • Experience with transactional systems and fraud detection systems.
  • Ability to analyze data patterns and detect potential fraud.
  • Knowledge of relational database management systems and experience with SAS and/or SQL.


Desirable:

  • Professional certifications in industry-related fields.
  • Experience with specific fraud detection systems like ReD Shield & Apache Storm.
  • Knowledge of Payment Card Industry Data Security Standard (PCI DSS) regulations.
  • Understanding of Chargeback rules.
  • Experience liaising with technical and finance teams.
  • Experience working with remote teams.
  • #Hybrid - Open to all Cubic locations


The description provided above is not intended to be an exhaustive list of all job duties, responsibilities and requirements. Duties, responsibilities and requirements may change over time and according to business need

Cubic Pay Range:

$82,000.00 - $88,000.00 + benefits.

The Cubic pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

#LI-MA1Worker Type:Employee

We are committed to creating an inclusive workplace and welcome applications from people of all backgrounds. We do not discriminate based on any protected characteristic under applicable law.