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Fraud Analytics Analyst Jobs (NOW HIRING)

US Bank

Authentication Fraud Strategy Analyst

Tempe, AZ · On-site

This role leverages advanced analytics, fraud intelligence, and customer behavior insights to evaluate authentication performance, identify emerging risks, and recommend strategic enhancements across ...

Avant LLC

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Avant is looking for knowledgeable fraud professionals to join our Fraud Analytics team in Chicago. This position is critical in utilizing data to identify fraud trends, developing and deploying ...

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How much do fraud analytics analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for fraud analytics analyst 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.

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Lead Business Analyst, Fraud Analytics

Jacksonville, FL • On-site

Blend360
IT Services • 201 - 500 employees
Learn more about Blend360external

Full-time

Posted yesterday

New

Job description

Company Description

Blend is a data, analytics, and AI services company that helps organizations solve complex business problems through strategy, technology, and specialized talent. We connect experienced professionals with meaningful projects at leading companies across a range of industries.

Job Description

We are seeking a Lead Business Analyst preferrably with Fraud Analytics experience to evaluate analytical models and coordinate their implementation into a production environment. This person will assess model performance, compare available models, help determine which models should be prioritized, and manage the work required to deploy them successfully.

This role combines data science, data modeling, project management, and analytics. It is not focused exclusively on building models from scratch or writing production code.

Responsibilities

  • Evaluate analytical models and assess their performance.
  • Compare models and help determine which should be prioritized for implementation.
  • Coordinate model implementation and deployment activities.
  • Manage timelines, requirements, deliverables, dependencies, and project progress.
  • Work with data science, modeling, technology, and business teams.
  • Analyze model results and translate findings into clear recommendations.
  • Track model performance before and after implementation.
  • Identify implementation issues and coordinate their resolution.
  • Prepare reports and communicate findings to stakeholders.
Qualifications

Required Qualifications

  • 3+ years of Data Science experience.
  • 3+ years of Data Modeling experience involving model implementation, deployment, and evaluation.
  • 3+ years of Project Management experience.
  • 3+ years of Analytics experience.

Preferred Qualifications

  • Experience with fraud analytics or fraud models.
  • Experience building or deploying fraud detection rules.
  • Payments or card-industry experience.
  • Familiarity with Mastercard products or models.
  • Financial services experience.
  • Experience with card-network mandates and issuer-side implementation.

Additional Information

This role does not offer sponsorship, visa transfers, or C2C arrangements now or at anytime in the future.