Fraud Data Analyst

Sezzle

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

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud detection and prevention, utilizing SQL and Python for data analysis and investigation. Capable of 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

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Hard Skills

Fraud DetectionSQLPythonData AnalysisFraud InvestigationFraud PreventionEvidence GatheringPattern RecognitionFraud TypologiesLarge Dataset Analysis

Soft Skills

Analytical SkillsProblem-SolvingAttention to DetailCommunication SkillsOrganizational Skills

Tools & Technologies

Fraud Detection ToolsClaudeLarge Language Model Tools

Industry Keywords

FintechPaymentsLendingBankingFinancial Institutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity
Use 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 current with industry best practices, emerging fraud threats, and new fraud detection and prevention technologies
Help protect Sezzle and its customers from financial loss and reputational damage

Requirements

What you’ll need

Bachelor's degree in a relevant field such as Economics, Computer Science, Analytics, or a related field
Minimum of two (2) years of experience in fraud detection, prevention, or investigation
Minimum of two (2) years of experience working with SQL and Python
Strong analytical and problem-solving skills with 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
Ability to work independently and as part of a team in a fast-paced environment
Strong organizational skills and ability to manage multiple priorities
High level of integrity and commitment to ethical practices
Demonstrated experience working with Claude or equivalent large language model tools; comfortable leveraging AI to enhance productivity, research, and communication
English resumes required
Preferred: experience in fintech, payments, lending, banking, or financial institutions
Preferred: degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree a plus

Benefits

Comp & perks

Remote work arrangement
Culture emphasizing high standards, innovation, calculated risk-taking, trust, respectful challenge, and results
Opportunity to work with cutting-edge technology in fintech and retail
Diverse employee interests and purpose-driven workplace culture