Remote Shopper Fraud Operations Analyst

Sezzle; United States; Remote; USD 17,000 - 22,000; Full time

Job summary

Sezzle is seeking a Shopper Risk Fraud Operations Analyst to monitor real-time transactions and user behavior for fraud, perform investigations, and block risky accounts according to internal policies. This is a full-time, non-exempt contractor role with standard business hours in the Central time zone.

You'll collaborate with analysts, data scientists, and engineering, apply AI-enabled tools (Claude or equivalents), and bring at least 1 year of fraud experience. English resumes only accepted.

Qualifications

• Bachelor's degree from an accredited institution.
• Minimum 1 year of fraud investigation experience.
• Experience analyzing data and making rapid decisions in a fast-paced environment.
• Familiarity with AI tools to enhance productivity is required.

Responsibilities

• Monitor real-time transactions flagged for fraud or abuse for manual review.
• Investigate transactions using internal policies to determine fraud.
• Analyze account patterns with data to identify risks.
• Research fraud trends to improve models and detection rules.
• Collaborate with analysts, data scientists, and engineers to enhance prevention tools.
• Maintain knowledge of fraud prevention techniques and technologies.
• Meet SLAs for timely case resolution to minimize losses.
• Handle escalations professionally from internal and external stakeholders.

Skills

Bachelor's degree

Fraud analysis

Data analysis

Attention to detail

Problem solving

Strong communication

AI tooling

Education

Bachelor's degree

Tools

SQL

Python / R

Claude or AI tools

Job description

Sezzle is seeking a Shopper Risk Fraud Operations Analyst to monitor real-time transactions and user behavior for fraud, perform investigations, and block risky accounts according to internal policies. This is a full-time, non-exempt contractor role with standard business hours in the Central time zone.

You'll collaborate with analysts, data scientists, and engineering, apply AI-enabled tools (Claude or equivalents), and bring at least 1 year of fraud experience. English resumes only accepted.