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Fraud Intelligence Analyst Jobs in Georgia (NOW HIRING)

Showing results 21-40

Fraud Intelligence Analyst information

See Georgia salary details

$38.4K

$84.3K

$138.1K

How much do fraud intelligence analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fraud intelligence analyst in Georgia is $84,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $97,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Fraud Intelligence Analyst, you need a strong analytical mindset, attention to detail, and a relevant degree such as in criminology, finance, or data analysis. Familiarity with fraud detection tools, data analysis software, and sometimes certifications like Certified Fraud Examiner (CFE) are commonly required. Excellent problem-solving, communication, and critical thinking skills help analysts collaborate effectively and present findings clearly. These skills are crucial for accurately identifying fraudulent activity, minimizing financial losses, and supporting organizational security.

What does a fraud intelligence analyst do?

A Fraud Intelligence Analyst is responsible for identifying, investigating, and preventing fraudulent activities within an organization. They analyze data patterns, monitor transactions, and use specialized tools to detect suspicious behavior or trends that may indicate fraud. These professionals collaborate with other departments and law enforcement agencies to develop strategies, provide intelligence reports, and support ongoing investigations. Their work helps protect businesses and customers from financial losses and reputational damage caused by fraud.

What qualifications do you need to be a fraud intelligence analyst?

A fraud intelligence analyst typically needs a bachelor's degree in fields such as criminal justice, finance, or cybersecurity. Relevant skills include data analysis, knowledge of fraud schemes, and proficiency with tools like SQL or Excel; certifications like Certified Fraud Examiner (CFE) can also enhance qualifications.

How does a fraud intelligence analyst typically collaborate with other departments to prevent financial loss?

Fraud Intelligence Analysts regularly work alongside teams in risk management, compliance, IT, and customer service to detect and investigate suspicious activities. They often participate in cross-functional meetings to share insights, analyze emerging fraud patterns, and recommend proactive measures. This collaboration ensures that the organization maintains a unified approach to fraud prevention and response, allowing for swift action when potential threats are identified. Building strong interdepartmental relationships is key to effectively minimizing financial risks.

How much does a fraud intelligence analyst get paid?

The average salary for a fraud intelligence analyst typically ranges from $60,000 to $90,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications and specialized skills can earn higher salaries.
What job categories do people searching Fraud Intelligence Analyst jobs in Georgia look for? The top searched job categories for Fraud Intelligence Analyst jobs in Georgia are:
What cities in Georgia are hiring for Fraud Intelligence Analyst jobs? Cities in Georgia with the most Fraud Intelligence Analyst job openings:
Infographic showing various Fraud Intelligence Analyst job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,323 per year, or $40.5 per hour.

Business Consultant Specialist

RELX Group plc

Alpharetta, GA โ€ข On-site

Full-time

Medical, Life

Posted 10 days ago


Job description

Do you enjoy turning complex platform usage data into clear, real-time operational insights that help teams act fast?
Are you excited to build AI-driven monitoring that detects abnormal patterns early and improves customer outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/.
About the Team
The Business Services team partners closely with technology, operations, and product groups to ensure our platforms are reliable, observable, and continuously improving. We focus on operational intelligence, early issue detection, and translating data into meaningful action for the business.
About the Role
Operational Intelligence Analyst (AI & Analytics) - This role sits at the intersection of data science, platform monitoring, and customer experience-responsible for translating complex product usage data into actionable insights, alerts, and proactive interventions that protect revenue and improve platform health. As a core member of the Operational Intelligence team, this role partners closely across technology and operations to deliver real-time visibility, anomaly detection, and rapid response capabilities across product platforms.
Responsibilities
  • Analyze large-scale usage datasets using SQL and data science methodologies to identify trends, patterns, and anomalies in product platform activity.
  • Design, develop, and deploy AI models that automatically dashboard active usage and flag abnormal patterns in real time.
  • Build and maintain operational alerts, interactive dashboards, and visualization solutions using Databricks, Elastic AI, Kibana, PowerBI, and related tools.
  • Create data profiles and leverage them to generate timely, actionable analytics that support rapid business decision-making and operational response.
  • Partner closely with operations teams to establish and refine early-escalation workflows for customers experiencing issues with our product platforms.
  • Continuously monitor platform health metrics, perform root-cause analysis on usage anomalies, and recommend data-driven improvements to alerting logic and dashboards.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical analytics solutions that deliver clear operational value.
  • Document analytics processes, model logic, and dashboard architectures to ensure knowledge sharing and long-term maintainability of the Operational Intelligence platform.
  • Stay current with emerging tools and best practices in data science, AI-driven monitoring, and business intelligence to drive continuous innovation within the team.
  • This role is ideal for a data-savvy consultant who thrives at the intersection of technical analytics and business impact.

Requirements:
Data Engineering & Analysis Foundation
  • Advanced SQL (required) with hands-on experience querying large-scale, high-velocity datasets
  • Experience working with distributed data platforms (e.g., Databricks, Spark, or similar)

Applied Data Science / ML Exposure (Practical > Theoretical)
  • Experience building or tuning anomaly detection, forecasting, or pattern recognition models
  • Ability to operationalize models into alerting or reporting systems (not just notebooks)

Monitoring, Alerting & Observability Mindset
  • Experience designing or supporting alerting frameworks tied to system or business thresholds
  • Familiarity with tools like Elastic, Kibana, Splunk, or similar observability platforms

Dashboarding & Visualization Experience
  • Proven ability to build actionable dashboards (Power BI, Kibana, etc.)
  • Focus on usability, surfacing signals vs. noise for operational teams

Root Cause & Incident Analysis Skillset
  • Demonstrated ability to investigate anomalies, trace issues across systems, and identify root causes
  • Experience translating data signals into clear operational or business impacts

Cross-Functional Business Translation
  • Ability to work directly with operations, product, and engineering teams
  • Converts ambiguous business needs into structured data/analytics solutions

Automation & Continuous Improvement Orientation
  • Experience improving alert logic, reducing false positives, and scaling analytics workflows
  • Exposure to scripting (Python preferred) for data processing or automation

Documentation & Platform Ownership Mindset
  • Ability to document data models, dashboards, and alerting logic for reuse and maintainability
  • Operates as a long-term owner of analytics assets-not just a builder

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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