Risk Operations Analyst

Summary

Join Sezzle's dynamic team as a Shopper Risk Operations Analyst and contribute to our mission of financially empowering the next generation. This role involves monitoring real-time transactions, investigating suspicious activities, and collaborating with cross-functional teams to enhance fraud prevention mechanisms. You will analyze data, make impactful decisions, and maintain strong domain knowledge of fraud prevention techniques. The position requires a bachelor's degree, data analysis experience, and excellent problem-solving skills. This is a full-time, salaried contractor position with specific working hours. Only English resumes will be considered. The ideal candidate possesses high standards, is action-oriented, earns trust, and delivers results.

Requirements

• Bachelor's degree from an accredited institution
• 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

• Minimum 1 year of experience in investigating and resolving fraud incidents
• Work experience in fintech, payments, lending, banking, or financial institutions
• Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree
• Experience in using database query language (e.g. SQL, etc), and data processing and analytics tools such as Python / R / SAS is a plus