Remote Fraud Operations Analyst — Impactful Risk

Sezzle; México; On-site; MXN 309,000 - 412,000; Full time

Job summary

Sezzle is seeking a talented Fraud Operations Analyst to monitor, investigate, and prevent online fraud in a fast-paced environment. You will work with the team to review suspicious activity, apply internal policies, and contribute to AI-driven detection improvements while maintaining high standards of accuracy and speed.

The role requires a Bachelor's degree and at least 1 year of fraud experience, with a focus on data-driven decision making and cross-functional collaboration.

Qualifications

• Bachelor's degree in a related field.
• Minimum 1 year of fraud investigation experience.
• Experience analyzing data and making decisions in a fast-paced environment.
• Strong attention to detail and multitasking ability.
• Excellent problem-solving and analytical skills.
• Strong business judgment and communication skills.
• Ability to self-start and work with minimal supervision after training.
• Willingness to work through holidays.
• Experience with Claude or similar AI tools is required.

Responsibilities

• Monitor real-time transactions and flags for fraud for manual review.
• Investigate individual transactions using internal policies to classify fraud risk.
• Analyze account patterns and data to understand fraud trends.
• Contribute to ML models, rules, and detection systems through research.
• Collaborate with analysts, data scientists, and engineers to improve prevention tools.
• Maintain domain knowledge of fraud prevention techniques and tech.
• Meet established SLAs to minimize potential losses.

Skills

Fraud analysis

Data analysis

Communication

Attention to detail

Self-start

AI tools

Time management

Education

Bachelor's degree

Tools

SQL

Python

Claude

Job description

Sezzle is seeking a talented Fraud Operations Analyst to monitor, investigate, and prevent online fraud in a fast-paced environment. You will work with the team to review suspicious activity, apply internal policies, and contribute to AI-driven detection improvements while maintaining high standards of accuracy and speed.

The role requires a Bachelor's degree and at least 1 year of fraud experience, with a focus on data-driven decision making and cross-functional collaboration.