
Expert Fraud Prevention Specialist
3 semanas atrás
At a leading payment technology innovator, we're dedicated to innovation, quality, passion, integrity, and responsibility. Our team of over 3,000 employees in 35 countries is driven by a commitment to excellence.
About This Opportunity:We're seeking a Fraud Business Analyst Intern to support process audits, rule tuning, and data-driven investigations. You'll work closely with our Fraud Technology, Decision Sciences, and Anomaly Detection teams to review logic, test controls, and recommend improvements.
Responsibilities:- Assist in auditing and validating existing fraud rules configured in the Accertify platform
- Support quality assurance reviews of RPAs related to fraud monitoring and decision-making
- Collaborate with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives
- Help design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring
- Document and report gaps or inefficiencies in current detection logic or process automations
- Perform basic root cause analysis of anomalous behavior and support process remediation
- Participate in fraud case reviews, helping to translate operational observations into structured findings
- Pursuing a degree in Business Analytics, Finance, Information Systems, Criminal Justice, or a related discipline within your penultimate or final year of study.
- Above average academic track record
- Strong attention to detail and a process-oriented mindset
- Exposure to data analysis tools (e.g., Excel, SQL, Python) and visualization platforms (e.g., Power BI, Splunk)
- Interest in fraud prevention, financial crimes, or enterprise automation
- Ability to communicate clearly and professionally, both in writing and verbally
- Proficiency with the English language
- Must be self-motivated, ability to prioritize effectively and not shy away to seek guidance when you are blocked on a task
- Ability to work with large teams; Willing and capable of learning new tools and technologies
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