Fraud Operations Analyst

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

📋 Description

• Oversee real-time transactions and customer activities identified as potential fraud and abuse for manual assessment.

• Examine individual transactions by applying internal policies and evaluation methodologies.

• Evaluate account trends through data analysis utilizing internal systems and tools.

• Conduct research on fraud and user conduct to aid in the development of machine learning models, rules, and detection systems.

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

• Uphold a robust understanding of fraud prevention methods and technologies.

• Achieve or surpass service level agreements for prompt resolution of pending cases to reduce potential losses.

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

• Block fraudulent or high-risk users and remove false-positive flags from automated systems and support personnel.

⛳️ Requirements

• Bachelor’s degree from an accredited institution.

• At least 1 year of experience in investigating and resolving fraud-related incidents.

• Proficient in data analysis and making significant decisions in a fast-paced and occasionally ambiguous environment.

• Strong attention to detail and capability to manage multiple tasks.

• Exceptional problem-solving and analytical abilities.

• Solid business acumen and communication skills.

• Capacity to initiate tasks independently and work with minimal supervision following training.

• Availability to work during holidays.

• Proven experience using Claude or similar large language model tools; comfortable utilizing AI to boost productivity, research, and communication.

• Background in fintech, payments, lending, banking, or financial institutions is advantageous.

• Familiarity with database query languages (e.g., SQL) and data processing and analytics tools such as Python, R, or SAS is a plus.

• Ideal candidate should be ready to commence work within two weeks of receiving an offer.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and career growth.

• Flexible work arrangements.

• Paid time off and holiday leave.