Data Analyst – Fraud Prevention Specialist
Há 6 dias
Our organization is a pioneer in the payment industry with over 30 years of experience and a team of over 3,000 employees across 35 countries. We own over 400 global technical patents and have a network of over 525,000 points of retail distribution.
We prioritize our people's growth and make careers meaningful and rewarding. Our values include innovation, quality, passion, integrity, and responsibility. We're seeking great individuals to help us move forward towards a bright future.
This internship focuses on strengthening fraud defenses by supporting process audits, rule tuning, and data-driven investigations. You'll work closely with Fraud Technology, Decision Sciences, and Anomaly Detection teams to review logic, test controls, and recommend improvements.
This role is ideal for detail-oriented individuals with strong analytical skills and a passion for fraud prevention and operational risk reduction.
- Detail-oriented and analytical mindset
- Strong problem-solving skills
- Excellent communication and teamwork skills
Responsibilities:
- Assist in auditing and validating existing fraud rules configured in the 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
Qualifications:
- 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, able to prioritize effectively and not shy away from seeking guidance when needed
- Ability to work with large teams; Willing and capable of learning new tools and technologies
Equal Employment Opportunities
We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran's status, age, disability status, genetics or any other category protected by federal, state, or local law.
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