Associate Fraud Analyst

Adyen•Chicago, IL

6d•$36 - $47•Hybrid

About The Position

We are looking for an ambitious analyst to join our Merchant Fraud team. As part of the Merchant Fraud team in Chicago you will be working closely with Risk, Product and other Merchant Operations teams. As a Merchant Fraud Analyst you will be responsible for identifying, investigating, and preventing fraudulent activities related to our acquiring and embedded financial services. Your expertise will contribute to maintaining the integrity of our platform and ensuring a secure and trustworthy environment for our users. The Merchant Fraud Team is responsible for detecting and mitigating fraudulent activity that scalably reduces risk for Adyen and its customers.

Requirements

Fluent in spoken and written English
1-2+ years of experience in fraud or AML at a financial institution or fintech company
Knowledge of multiple forms of fraud, AML, financial crimes and scams
Willingness to make difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisions
You are able to work both on your own and with others, taking ownership where your knowledge is needed. At the same time you are a strong collaborator who is comfortable with connecting with colleagues across different teams and cultures, sharing ideas to improve efficient teamwork.
You must be work authorized in the United States without the need for new visa sponsorship. The company can support visa transfers but will not sponsor individuals for H-1B CAP applications.

Responsibilities

Monitor and investigate transaction patterns, account activity, and user behavior patterns to detect and mitigate fraudulent activity in real-time.
Assist in the development and optimization of fraud detection systems and tools, suggesting improvements and enhancements as needed.
Develop and optimize policies and procedures for fraud incident response, root cause analysis, funds recovery and communication protocols.
Stay up-to-date with the latest fraud trends, techniques, and technologies to continuously enhance fraud detection and prevention methods.
Monitor and investigate transaction patterns, account activity, and user behavior patterns to accurately detect and mitigate fraudulent activity in real-time, meeting daily productivity (KPIs) and quality (QA) targets.