Deskripsi Pekerjaan
Are you a data-driven professional with a passion for integrity and risk mitigation? Tenerity is seeking a meticulous Customer Fraud Analytics Associate to join our high-performing team in Bonifacio Global City. In this role, you will be the first line of defense in identifying, investigating, and mitigating fraudulent activities within our customer ecosystem.
You will leverage your technical expertise to transform complex datasets into actionable insights, ensuring the highest standards of quality control and operational security. If you excel at spotting anomalies, thrive in a fast-paced environment, and possess the analytical rigor to solve complex problems, we want to hear from you.
At Tenerity, we foster a culture of continuous improvement, innovation, and collaboration. You will have the opportunity to work with cutting-edge analytical tools and contribute directly to protecting our brand reputation and customer trust.
Tanggung Jawab
- Conduct in-depth analysis of customer transaction patterns to identify potential fraudulent behavior.
- Write and maintain advanced SQL queries to extract, clean, and analyze large datasets from multiple sources.
- Proactively monitor system alerts and investigate anomalies with high precision and attention to detail.
- Collaborate with cross-functional teams to refine fraud detection logic and risk assessment frameworks.
- Prepare comprehensive reports and dashboards for stakeholders detailing findings and recommendations.
- Assist in the development and documentation of quality control protocols to maintain operational excellence.
- Stay current with emerging fraud trends and technical advancements in data analytics to optimize performance.
Kualifikasi
- Bachelor’s degree in Data Science, Information Technology, Statistics, Finance, or a related field.
- Minimum 2-3 years of experience in fraud analysis, data analytics, or quality control roles.
- Advanced proficiency in SQL (Window functions, complex joins, subqueries, and stored procedures) is mandatory.
- Strong background in data visualization tools (e.g., Tableau, Power BI) and advanced Excel.
- Excellent analytical, problem-solving, and critical thinking skills.
- High level of integrity and the ability to maintain confidentiality with sensitive customer information.
- Strong written and verbal communication skills with the ability to explain complex technical findings to non-technical stakeholders.