Remote Fraud Operations Analyst - Fintech Risk & Investigations

Sezzle; Peru (IL); Remote; USD 17,000 - 22,000; Full time

Job summary

Sezzle seeks a Shopper Risk Fraud Operations Analyst to monitor real-time transactions for potential fraud and perform detailed investigations. You will work with internal teams to refine detection methods and contribute to machine learning models, ensuring robust fraud prevention across the platform.

Requirements include a Bachelor's degree, at least 1 year in fraud analysis, strong analytical and communication skills, and the ability to work with AI tools like Claude in a fast-paced

Qualifications

• Bachelor's degree or equivalent required.
• Minimum 1 year of fraud investigation experience.
• Strong data analysis and decision-making abilities.
• Excellent communication and problem-solving skills.
• Comfort with using AI tools to enhance productivity.

Responsibilities

• Monitor real-time transactions and user behavior flagged for fraud for manual review.
• Investigate individual transactions using internal policies to determine fraud.
• Analyze account patterns and data to detect anomalies.
• Contribute to ML models, rules, and other detection systems.
• Collaborate with analysts, data scientists, and engineers to improve fraud prevention processes.
• Maintain knowledge of fraud prevention techniques and tools.
• Meet or exceed SLAs to minimize potential losses.
• Handle escalations professionally with internal and external stakeholders.

Skills

Fraud investigation

Data analysis

Attention to detail

Communication skills

Decision making

Self-motivation

Time management

AI tools

Education

Bachelor's degree

Tools

Claude

Job description

Sezzle seeks a Shopper Risk Fraud Operations Analyst to monitor real-time transactions for potential fraud and perform detailed investigations. You will work with internal teams to refine detection methods and contribute to machine learning models, ensuring robust fraud prevention across the platform.

Requirements include a Bachelor's degree, at least 1 year in fraud analysis, strong analytical and communication skills, and the ability to work with AI tools like Claude in a fast-paced