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Fraud Analyst Sql Jobs (NOW HIRING)

Fraud Analyst

Miami, FL ยท On-site

Experience with data analytics, SQL, or reporting tools. Skills: * Strong understanding of financial fraud schemes and prevention methods. * Demonstrated ability to analyze complex data and identify ...

Fraud Analyst

Miami, FL ยท On-site

Experience with data analytics, SQL, or reporting tools. Skills: * Strong understanding of financial fraud schemes and prevention methods. * Demonstrated ability to analyze complex data and identify ...

The role combines hands-on SQL analysis with fraud-rule design, risk decisioning, and continuous optimization. You'll play a key part in balancing fraud prevention with conversion, customer ...

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Fraud Analyst

Atlanta, GA ยท On-site

$26 - $30/hr

... seeking a Fraud Analyst to join their team. START DATE SEPT 8th! Contract until Jan/Feb ... Research customer and client issues using SQL and proprietary tools * Execute monthly reporting

Sr Fraud Analyst

San Jose, CA ยท On-site

$140K - $165K/yr

Build dashboards, reporting solutions, and visualizations using SQL, Tableau, and related analytics ... Fraud/risk analytics * Transaction analytics * Hands-on expertise in SQL is required; Python ...

SQL and retail fraud experience preferred. Job Responsibilities * Monitor and analyze transactions using analytical tools and software to identify suspicious activities, predict patterns that might ...

Fraud Analyst

Lehi, UT ยท On-site

Analyze high-value transactions for potential fraud, employing keen analytical skills to identify ... Beginner-Intermediate experience in SQL proficiency * You can create and run reports in Snowflake

SQL and retail fraud experience preferred. Job Responsibilities * Monitor and analyze transactions using analytical tools and software to identify suspicious activities, predict patterns that might ...

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 ...

Fraud Analyst

OR ยท On-site +1

Handle customer requests regarding fraud case analysis and reporting * Contribute to the fraud ... Master Python and SQL * Strong ability to automate things with scripting and AI * Experience in ...

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 ...

Handle customer requests regarding fraud case analysis and reporting * Contribute to the fraud ... Master Python and SQL * Strong ability to automate things with scripting and AI * Experience in ...

Fraud Analyst

Brooklyn, NY ยท Remote

$70K - $105K/yr

As Till's Fraud Analyst, you will own fraud detection throughout the customer lifecycle transaction ... SQL or basic data tooling familiarity (Metabase or comparable). * ACAMS, CFE, or in-progress ...

Fraud Analyst

Brooklyn, NY ยท On-site +1

$70K - $105K/yr

As Till's Fraud Analyst, you will own fraud detection throughout the customer lifecycle transaction ... SQL or basic data tooling familiarity (Metabase or comparable). * ACAMS, CFE, or in-progress ...

Sr. Fraud Analyst

New York, NY ยท On-site

$135K - $160K/yr

Advanced SQL is required. Comfortable framing analytical questions, designing experiments, and interpreting model/rule performance. * Familiarity with Fraud ecosystem (solutions, capabilities ...

Sr. Fraud Analyst

Boston, MA ยท 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

New York, NY ยท Hybrid

$135K - $160K/yr

Advanced SQL is required. Comfortable framing analytical questions, designing experiments, and interpreting model/rule performance. * Familiarity with Fraud ecosystem (solutions, capabilities ...

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Fraud Analyst Sql information

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How much do fraud analyst sql jobs pay per hour?

As of Aug 21, 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.

Full-time

Re-posted 17 days ago


Job description

Job Summary:

The Enterprise Fraud Analyst is responsible for identifying, investigating, and mitigating fraud risks across Educational Federal Credit Unionโ€™s entire enterprise. This role supports organization-wide fraud prevention efforts by analyzing trends, monitoring activity across multiple channels, and partnering with business units to strengthen controls, reduce losses, and protect members. The analyst plays a key role in enterprise risk management and regulatory compliance

Duties & Responsibilities:

  • Monitor and analyze fraud activity across all credit union products and channels, including deposits, lending, cards, ACH, wires, online and mobile banking.
  • Investigate suspected fraudulent activity and document cases in accordance with enterprise standards.
  • Identify fraud trends, root causes, and emerging risks impacting multiple business units.
  • Use internal and external resources to gain greater understanding of fraud analysis practices and processes and compliance implications. Examples of resources are meeting with department leaders, communicating with examiners, and conducting research.
  • Partner with business lines enterprise-wide to implement enterprise fraud controls.
  • Support enterprise fraud strategies, policies, and procedures to ensure consistent application across the organization.
  • Develop and maintain fraud metrics, dashboards, and reporting for leadership and risk committees.
  • Recommend process improvements and system enhancements to reduce fraud exposure and member impact.
  • Assists with fraud-related risk assessments.
  • Assist with vendor management related to fraud detection tools and monitoring systems and act as administrator for those systems.
  • Support regulatory exams, audits, and internal reviews related to fraud risk.
  • Participate in enterprise incident response efforts for significant fraud events
  • Performs other duties as assigned by management.

Preferred Qualifications:

  • Experience in a credit union or community banking environment.
  • Knowledge of NCUA regulations and fraud-related expectations.
  • Familiarity with enterprise fraud platforms and case management systems.
  • Experience with data analytics, SQL, or reporting tools.


Skills:

  • Strong understanding of financial fraud schemes and prevention methods.
  • Demonstrated ability to analyze complex data and identify actionable insights.
  • Excellent written and verbal communication skills.
  • High level of integrity and discretion when handling sensitive information.
  • Ability to think strategically, conceptually and analytically including strong organizational skills.
  • Strong attention to detail .
  • Ability to meets deadlines and manage changing priorities with limited direction.
  • Advanced proficiency with Microsoft Office.
  • Maintain the confidentiality of the Credit Union and member records at all times.
  • Advanced knowledge of EdFed products and services.