Remote Shopper Risk & Fraud Operations Analyst

Sezzle; Buenos Aires; Remote; ARS 25,497,000 - 33,995,000; Full time

Job summary

Sezzle, a fintech company reinventing the shopping experience with interest-free installments, is seeking a Shopper Risk Fraud Operations Analyst. You’ll monitor real-time transactions, investigate suspected fraud, and collaborate with data scientists and engineers to improve detection systems in a fast-paced environment.

Ideal candidates have a bachelor’s degree, at least 1 year of fraud investigation experience, strong analytical skills, and comfort using AI tools like Claude to boost

Qualifications

• Bachelor’s degree from an accredited institution.
• Minimum 1 year of experience in investigating and resolving fraud incidents.
• Experience with Claude or equivalent LLM tools is required; comfortable leveraging AI to enhance productivity, research, and communication.

Responsibilities

• Monitor real-time transactions and flagged behaviors for manual review.
• Investigate individual transactions using internal policies to determine if fraudulent.
• Analyze account patterns and data to understand fraud trends.
• Contribute to ML models, rules, and detection systems.
• Collaborate with analysts, data scientists, and engineers to improve fraud prevention.
• Maintain domain knowledge of fraud prevention techniques and technologies.
• Meet SLAs for timely resolution of queued cases to minimize losses.
• Handle escalations professionally.

Skills

Fraud analysis

Attention to detail

Analytical thinking

Strong communication

AI tooling

Education

Bachelor’s degree

Tools

Claude LLM tools

SQL

Python/R/SAS

Job description

Sezzle, a fintech company reinventing the shopping experience with interest-free installments, is seeking a Shopper Risk Fraud Operations Analyst. You’ll monitor real-time transactions, investigate suspected fraud, and collaborate with data scientists and engineers to improve detection systems in a fast-paced environment.

Ideal candidates have a bachelor’s degree, at least 1 year of fraud investigation experience, strong analytical skills, and comfort using AI tools like Claude to boost