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.

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
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Fraud Operations Analyst

Key skills