Fraud Operations Analyst

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Oversee real-time transactions and other customer activities flagged for fraud and abuse for manual assessment.

• Examine individual transactions using internal guidelines and review techniques to ascertain if they are fraudulent.

• Familiarize yourself with our systems and tools; analyze account trends through data evaluation.

• Investigate fraud and user behavior to assist in developing machine learning models, rules, and other detection frameworks.

• Partner with analysts, operations specialists, data scientists, and engineers to enhance our fraud prevention strategies, processes, and tools.

• Acquire and maintain a robust understanding of the fraud landscape, including prevention methods and technologies.

• Meet or surpass established service level agreements (SLAs) for prompt resolution of pending cases to mitigate potential losses.

• Address escalations from both internal and external stakeholders in a professional and efficient manner.

• Work Monday to Friday from 3:00 PM to 11:30 PM Central Time.

⛳️ Requirements

• Bachelor’s degree from an accredited institution.

• At least 1 year of experience in investigating and resolving fraud cases.

• Proficient in data analysis and capable of making significant decisions in a fast-paced and sometimes ambiguous setting.

• Strong attention to detail and ability to handle multiple tasks simultaneously.

• Excellent problem-solving and analytical capabilities.

• Strong business acumen and communication skills.

• Ability to take initiative and work independently after training.

• Willingness to work during holidays.

• Minimum GPA of 3.5 out of 4.0.

• Proven experience with Claude or similar large language model tools is essential; candidates should be adept at using AI to improve productivity, research, and communication.

• Previous work experience in fintech, payments, lending, banking, or financial institutions is advantageous.

• Degree in statistics, mathematics, finance, economics, or a related quantitative field; a graduate degree is a plus.

• Experience with database query languages (e.g., SQL) and data processing and analytics tools like Python / R / SAS is beneficial.

• The ideal candidate should be available to start within two weeks of receiving an offer.

• A+ character. We prioritize a team-first mentality here at Sezzle.

• A strong work ethic. There is still much to establish, and we must hit the ground running.

• Exceptional communication skills.

• A positive attitude. Life is short; we can enjoy ourselves while working hard on exciting initiatives.

• Intelligence. We seek individuals who are smart enough to make independent decisions and recognize when to seek input from others.

🏝️ Benefits

• Competitive salary and performance incentives.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday policies.

• Opportunities for professional development and career advancement.

• Collaborative and inclusive work environment.