Fraud Operations Analyst

Sezzle

. Monitor real-time transactions and customer behaviors flagged for fraud and abuse for manual review .

Posted 11/4/2026full-timeRemote • PeruJunior💰 $1,500 - $2,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in fraud investigation and prevention, utilizing data analysis and machine learning to enhance detection systems. Proficient in leveraging AI tools and maintaining strong domain knowledge in fintech and financial institutions.

Highest-signal resume keywords

Fraud InvestigationData AnalysisMachine Learning ModelsSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud InvestigationData AnalysisMachine Learning ModelsSQLPythonRSASDatabase Query LanguageAnalytical SkillsAttention to Detail

Soft Skills

Problem-SolvingCommunication SkillsBusiness JudgmentMultitaskingSelf-Starter

Tools & Technologies

ClaudeAI ToolsInternal SystemsFraud Prevention ToolsData Processing Tools

Industry Keywords

FintechPaymentsLendingBankingFinancial Institutions

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Monitor real-time transactions and customer behaviors flagged for fraud and abuse for manual review
Investigate individual transactions using internal policies and review methodologies
Analyze account patterns through data analysis using internal systems and tools
Research fraud and user behavior to contribute to machine learning models, rules, and detection systems
Collaborate with analysts, operations specialists, data scientists, and engineering to improve fraud prevention mechanisms, processes, and tools
Maintain strong domain knowledge of fraud prevention techniques and technologies
Meet or exceed SLAs for timely resolution of queued cases to minimize potential losses
Handle escalations from internal and external stakeholders professionally and efficiently
Block fraudulent or risky users and clear false-positive flags from automated systems and support agents

Requirements

What you’ll need

Bachelor's degree from an accredited institution
Minimum 1 year of experience in investigating and resolving fraud incidents
Experience analyzing data and making impactful decisions in a fast-paced and sometimes ambiguous environment
Attention to detail and ability to multitask
Excellent problem-solving and analytical skills
Strong business judgment and communication skills
Ability to self-start and work with minimal supervision after training
Able to work through holidays
Demonstrated experience working with Claude or equivalent large language model tools; comfortable leveraging AI to enhance productivity, research, and communication
Work experience in fintech, payments, lending, banking, or financial institutions is a plus
Experience using database query language (e.g. SQL) and data processing and analytics tools such as Python, R, or SAS is a plus
Ideal candidate available to start within two weeks following an offer