ZipRecruiter

Log In

1

Fraud Analytics Jobs (NOW HIRING)

CreditOne

Fraud Analytics Manager

Las Vegas, NV · On-site

Description Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy, drive operational performance, and advance an AI-enabled fraud operations model. This leader ...

Experian

The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions - pre-sales engagement, scalable and custom solutions, consulting, and ...

Amivero

Fraud Data Analytics Lead

Washington, DC

$75K - $130K/yr

Our Fraud Data Analytics Lead will lead a team of fraud analysts and be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for ...

New

Affirm

Analyst II, Full Stack (Fraud Analytics)

$128K - $188K/yr

The Fraud Strategy and Analytics team is responsible for analyzing, developing and optimizing Affirm's online fraud decisioning strategy. The team works cross-functionally with Product, Engineering ...

First Entertainment Credit Union

$90K - $110K/yr

Innovation, Analytics & Emerging Risk * Leverage data analytics, dashboards, and key risk indicators (KRIs) to identify trends and emerging fraud risks. * Support fraud risk considerations for ...

next page

Showing results 1-20

All JobsFraud Analytics Jobs

Fraud Analytics information

See salary details

$15

$30

$63

How much do fraud analytics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for fraud analytics in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

How does a Fraud Analytics professional typically collaborate with other departments within an organization?

Fraud Analytics professionals frequently work cross-functionally, partnering with teams such as IT, compliance, risk management, and customer service. They analyze data to identify suspicious activities and then communicate findings to relevant stakeholders, often participating in investigations or recommending process improvements. Effective collaboration ensures that fraud detection strategies stay up-to-date and align with broader organizational goals, making strong communication skills and teamwork essential for success in this role.

What does a fraud analyst do?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to identify potential scams or security breaches. They use tools like data analysis software and may review alerts from fraud detection systems to prevent financial losses and ensure compliance. Strong analytical skills and knowledge of fraud prevention techniques are essential for this role.

What is the difference between Fraud Analytics vs Fraud Prevention Specialist?

AspectFraud AnalyticsFraud Prevention Specialist
Primary FocusAnalyzing data to detect and predict fraudulent activitiesImplementing strategies and actions to prevent fraud
Skills & CertificationsData analysis, statistical tools, SQL, certifications like Certified Fraud Examiner (CFE)Customer service, risk management, fraud detection techniques, certifications like CFE
Work EnvironmentData analysis teams, financial institutions, tech companiesCustomer support centers, financial institutions, retail
GoalsIdentify patterns, develop models, improve detection accuracyReduce fraud incidents, enhance prevention measures

While both roles aim to combat fraud, Fraud Analytics focuses on analyzing data to identify and predict fraudulent activities, whereas Fraud Prevention Specialists implement measures to prevent fraud from occurring. Both roles often collaborate but serve different functions within fraud management strategies.

Will the fraud analyst be replaced by AI?

Fraud analysts play a critical role in detecting complex and evolving fraudulent activities that AI alone cannot fully address. While AI tools assist in automating routine tasks and analyzing large data sets, human judgment, critical thinking, and expertise remain essential in fraud prevention and investigation. Therefore, fraud analysts are likely to work alongside AI rather than be fully replaced by it.

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

To thrive in Fraud Analytics, you need strong analytical abilities, proficiency in statistics, and experience with data analysis, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with data mining tools, SQL, Python, machine learning platforms, and certifications like Certified Fraud Examiner (CFE) are typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data patterns and presenting findings to stakeholders. These skills are crucial for detecting fraudulent activities, minimizing financial risks, and supporting organizational integrity.

How much does a fraud analyst earn?

The average salary for a fraud analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with certifications and advanced skills can earn higher salaries. Many fraud analysts also receive benefits such as bonuses and health insurance.

What is fraud analytics?

Fraud analytics is the process of using data analysis, statistical methods, and machine learning techniques to detect, prevent, and investigate fraudulent activities within an organization. Professionals in this field analyze large sets of transactional and behavioral data to identify patterns and anomalies that may indicate fraud. Fraud analytics is commonly used in industries such as banking, insurance, retail, and e-commerce to minimize financial losses and protect customers. The role often involves working with specialized software and collaborating with other teams to implement effective anti-fraud strategies.

Is fraud analysis a good career?

Fraud analysis is a growing field within risk management that involves detecting and preventing fraudulent activities using data analysis and investigative skills. It offers opportunities for advancement, requires knowledge of analytics tools, and often involves working in financial or e-commerce environments. The role can be stable and rewarding for those interested in security and data-driven decision making.
More about Fraud Analytics jobs
What cities are hiring for Fraud Analytics jobs? Cities with the most Fraud Analytics job openings:
What are the most commonly searched types of Fraud Analytics jobs? The most popular types of Fraud Analytics jobs are:
What states have the most Fraud Analytics jobs? States with the most job openings for Fraud Analytics jobs include:
What job categories do people searching Fraud Analytics jobs look for? The top searched job categories for Fraud Analytics jobs are:
Fraud Analytics jobs near you

Fraud Analytics Manager

CreditOne

Las Vegas, NV • On-site

Full-time

Posted 23 days ago

Job description

Description
Position Summary
Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy, drive operational performance, and advance an AI-enabled fraud operations model. This leader will be accountable for delivering measurable improvements in customer experience, productivity, and risk outcomes through data-driven decisioning, AI/ GenAI adoption, and global vendor optimization.
The ideal candidate brings deep expertise in fraud and disputes management, a strong vendor management experience, and a proven ability to translate AI capabilities into operational impact. This role requires a balance of people leadership, analytical rigor, and transformation execution within a dynamic, regulated environment.
Essential Job Functions
  • Lead & Develop Talent
    • Build and coach high-performing fraud and disputes teams, aligning capability development with an AI-augmented workforce model.
    • Focus talent on high-value activities requiring judgment, investigative strategy, and complex decision-making, while leveraging automation for routine tasks.
  • Drive AI & Process Transformation
    • Identify and implement opportunities to deploy GenAI, AI, and machine learning to improve fraud detection, fraud and dispute case handling, and customer interactions.
    • Partner with analytics and technology teams to operationalize AI use cases into scalable workflows.
  • Fraud & Disputes Management
    • Lead day-to-day fraud and dispute intake, investigation, and resolution across all channels
    • Ensure adherence to SLAs, productivity targets, and quality standards
    • Manage capacity, forecasting, and staffing to meet fluctuating volumes
    • Oversee escalations and complex/high-risk fraud and dispute cases
  • Regulatory & Compliance Oversight
    • Ensure compliance with Reg E, Reg Z, network rules (Visa / MasterCard / American Express), and internal policies
    • Maintain audit readiness (internal, external, regulatory reviews)
    • Partner with Compliance, Legal, and Risk on control design and remediation
    • Drive documentation standards for investigations and decisioning
  • Vendor & Global Operations Leadership
    • Manage and optimize on and offshore vendor partnerships, ensuring alignment to performance, quality, and customer experience standards.
    • Leverage data and technology to drive consistent performance across globally distributed teams.
  • Performance & Operational Excellence
    • Own and deliver against key performance indicators (KPIs), ensuring consistent achievement of productivity, quality, and customer experience targets.
    • Utilize advanced reporting (e.g., Tableau, Snowflake) to monitor performance, identify trends, and drive continuous improvement.
  • Risk, Compliance & Quality
    • Ensure all operations meet regulatory, audit, and quality assurance standards.
    • Establish and maintain robust, audit-ready documentation aligned with industry best practices.
  • Cross-Functional Collaboration
    • Partner across Fraud Risk, Product, Technology, and Customer Experience teams to enhance processes and drive end-to-end outcomes.
    • Lead and influence change management initiatives supporting fraud and AI transformation programs.
  • Operational Governance
    • Oversee multiple lines of business and ensure standardized, scalable processes.
    • Develop and maintain agent- and site-level performance reporting frameworks to support decision-making.
  • Additional Responsibilities
    • Travel (domestic and international) to support vendor oversight and operational alignment.
    • Perform other duties as required.

Position Requirements
  • Experience
    • 5+ years of experience in fraud and disputes and/or customer operations (end-to-end). College degree preferred.
    • Hands-on experience deploying or working with AI/GenAI tools, automation, or data-driven workflows in an operational setting.
    • Proven track record managing global/vendor-based contact center operations.
    • Strong knowledge of Reg E, Reg Z and card network dispute rules (Visa, M/C, & American Express).
    • Proven ability to manage high-volume, deadline-driven operations.
    • Experience with audit/compliance environments
  • AI & Data Capabilities
    • Demonstrated ability to identify, prioritize, and implement AI-driven opportunities within operational environments.
    • Strong proficiency in data analysis, performance reporting, and insights generation (Tableau, Snowflake, or similar platforms)
  • Leadership & Execution
    • 3+ years proven success leading and developing teams within large, complex organizations.
    • Strong project and change management capabilities, with experience delivering transformation initiatives.
    • Ability to operate effectively in a fast-paced, evolving, and technology-driven environment.
  • Core Competencies
    • Execute Excellence: Drives disciplined, high-quality operational delivery
    • Risk & Control Mindset: Prioritizes compliance and customer fairness
    • Strategic Thinking: Connects operational insights to broader business goals
    • People Leadership: Builds strong, accountable, and engaged teams
    • Continuous Improvement: Challenges status quo and drives transformation
    • Exceptional communication and stakeholder management skills.
    • Strong business judgment and decision-making under uncertainty.
    • Deep commitment to customer experience and continuous improvement.
    • High level of adaptability, agility, and ownership.

Preferred
  • Fraud & Disputes Management
  • Experience implementing GenAI-assisted investigation tools, case summarization, or agent copilots.
  • Exposure to AI governance, model risk, or regulated AI deployment frameworks.
  • Demonstrated ability to bridge business and technical teams to deliver operational AI solutions.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

Apply