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Sezzle

Fraud Data Analyst

Sezzle

. Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity .

Posted 11/2/2026full-timeRemoteJuniorMid-Level💰 $2,900 - $3,750 per monthWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in fraud detection and prevention through the use of SQL and Python, alongside strong analytical skills to investigate and analyze fraudulent activities. Proficient in developing strategies and controls to mitigate fraud risks while maintaining high ethical standards.

Highest-signal resume keywords
Fraud DetectionSQLPythonAnalytical SkillsFraud Prevention Strategies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonFraud DetectionData AnalysisFraud InvestigationFraud PreventionEvidence GatheringPattern RecognitionData DocumentationFraud Typologies
Soft Skills
Analytical SkillsProblem-SolvingAttention to DetailCommunication SkillsOrganizational Skills
Tools & Technologies
Fraud Detection ToolsClaudeLarge Language Model Tools
Industry Keywords
Fraud TrendsAccount TakeoverIdentity TheftPayment FraudEthical Practices

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity
  • Utilize fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns
  • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings
  • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior
  • Develop and implement fraud prevention rules, strategies, and controls
  • Stay up to date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention

Requirements

What you’ll need
  • Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field)
  • Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role
  • Minimum of two (2) years of experience working with SQL and Python
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Understanding of common fraud typologies, including account takeover, identity theft, and payment fraud
  • Experience with fraud detection tools and platforms is a plus
  • Excellent written and verbal communication skills, with the ability to clearly articulate complex issues
  • Ability to work independently and as part of a team in a fast-paced environment
  • Strong organizational skills and the ability to manage multiple priorities effectively
  • High level of integrity and a commitment to ethical practices
  • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication
  • Only English resumes will be accepted