Fraud Operations Analyst (Fintech)

TL;DR

Fraud Operations Analyst (Fintech): Monitors real-time transactions and customer behaviors flagged for fraud, conducting investigations to determine fraudulent activities and contributing to machine learning models and fraud detection systems with an accent on improving fraud prevention mechanisms, processes, and tools. Focus on analyzing data, making impactful decisions in a fast-paced environment, and maintaining service level agreements for timely resolution of queued cases.

Location: Bogota, Colombia

Salary: $1,500 - $2,000 USD GROSS per month as a contractor

Company

hirify.global is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.

What you will do

• 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 systems and tools, and 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 fraud prevention mechanisms, processes, and tools.
• Maintain or exceed established service level agreements (SLAs) for timely resolution of queued cases to minimize potential losses.

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.

Nice to have

• Work experience in fintech, payments, lending, banking, or financial institutions.
• Degree in statistics, math, finance, economics, or related quantitative discipline.
• Experience in using database query language (e.g. SQL, etc), and data processing and analytics tools such as Python / R / SAS.

Culture & Benefits

• Belief in surrounding ourselves with only the best and the brightest individuals.
• Emphasis on developing new ways of doing things.
• Value calculated risk-taking.
• Earn trust by listening attentively, speaking candidly, and treating others respectfully.
• Focus on delivering key inputs with the right quality and in a timely fashion.