Fraud Operations Analyst

Summary

Join Sezzle's dynamic Fraud Operations team as a Fraud Operations Analyst and contribute to a revolutionary shopping experience. Monitor real-time transactions, investigate fraudulent activities, and analyze data to identify and prevent fraud. Collaborate with cross-functional teams to enhance fraud prevention mechanisms and maintain service level agreements. This role requires a Bachelor's degree, one year of fraud investigation experience, strong analytical and communication skills, and the ability to work independently and as part of a team. The position offers a competitive compensation package and the opportunity for career advancement within a fast-growing fintech company. The role involves working one of the listed shifts full-time and requires fluency in English.

Requirements

• Bachelor's degree from an accredited institution
• Minimum 1 year of experience in investigating and resolving fraud incidents
• Experienced in analyzing data and comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment
• Attention to detail and ability to multitask
• Excellent problem-solving and analytical skills
• Strong business judgment and communication skills
• Ability to self-start and work with minimal supervision after training
• Able to work through holidays
• Minimum GPA of 3.5 out of 4.0

Responsibilities

• Monitor real-time transactions and other customer behaviors flagged for fraud and abuse for manual review
• Investigate individual transactions using internal policies and review methodologies to determine if the transactions are fraudulent or not
• Understand our systems and tools; investigate account patterns through data analysis
• Research fraud and user behavior to contribute to machine learning models, rules and other detection systems
• Collaborate with analysts, operations specialists, data scientists and engineering to improve our fraud prevention mechanisms, processes and tools
• Learn and maintain strong domain knowledge of the world of fraud including prevention techniques and technologies
• Maintain or exceed established service level agreements (SLAs) for timely resolution of queued cases to minimize potential losses
• Handle escalations from internal and external stakeholders in a professional and efficient manner

Preferred Qualifications

• Work experience in fintech, payments, lending, banking, or financial institutions is a plus
• Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree a plus
• Experience in using database query language (e.g. SQL, etc), and data processing and analytics tools such as Python / R / SAS is a plus
• Ideal candidate will be available to start within two weeks following an offer