Data Science Risk Specialist

2 semanas atrás

Porto Alegre, Brasil beBeeFraud Tempo inteiro

Our organization is at the forefront of innovative payments technology. For over three decades, our team has been driving industry expertise with numerous global patents and widespread retail distribution points.

We value innovation, quality, passion, integrity, and responsibility. As a Fraud Analyst Intern, you will strengthen fraud defenses by supporting process audits, rule tuning, and data-driven investigations. You will collaborate 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.

Paid internship opportunities include real-world experience with a leading company, mentorship, professional development, and networking opportunities.

  • Paid Internship
  • 30-hour work week, Monday – Friday
  • Real-world experience with a leading company
  • Mentorship, professional development, and networking opportunities

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

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, 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

We are committed to equal employment opportunities for all employees and applicants 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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