Hồ Chí Minh
Full-time
Are you passionate about fraud detection, analyzing and mitigating harmful online behavior? Do you thrive in a high-impact environment where your expertise in researching and developing detections will reduce risk and protect over millions of users? If so, this role is for you.
We are seeking a skilled and analytical Trust & Safety Engineer to join our dedicated team in safeguarding our social network's communities. This role focuses on designing, building, and developing crucial safety systems, to proactively address platform violations. You will be responsible for analyzing user and group behavior patterns, deploy enforcement mechanisms, and mitigate risks like scams and harassment. Your primary mission is to control and handle violations effectively, ensuring a secure and high-quality environment for Zalo users.
We are seeking a skilled and analytical Trust & Safety Engineer to join our dedicated team in safeguarding our social network's communities. This role focuses on designing, building, and developing crucial safety systems, to proactively address platform violations. You will be responsible for analyzing user and group behavior patterns, deploy enforcement mechanisms, and mitigate risks like scams and harassment. Your primary mission is to control and handle violations effectively, ensuring a secure and high-quality environment for Zalo users.
What you will do
- Design and develop the Feature Store to support efficient data processing, analysis, and storage;
- Build and enhance the Rule Engine to facilitate real-time monitoring and rapid response to emerging clone/spam patterns on Zalo;
- Improve system workflows to minimize manual oversight and enhance overall efficiency;
- Directly analyze and monitor patterns of “bad” activities on Zalo. Make informed decisions and establish rules for swift mitigation within a 1-24 hour timeframe;
- Develop and implement scoring and classification models to identify malicious users/groups;
- Create meaningful and insightful reports to help guide data-driven decision-making to identify patterns of fraud, spam, and further provide actionable insights.
What you will need
- 5+ years of hands-on experience in data engineering, focusing on real-time and batch processing systems;
- Coding & Automation Skills – Proficiency in Python, Bash shell or Java to develop custom security detections;
- Data Analyst Skills - Experience in writing advanced SQL queries. Ability in manipulate and extract insights from large, column-based raw data. Ability to analyze complex datasets to identify valuable insights, detect anomalies, and predict potential malicious actors or activities;
- Problem-Solver Mentality – A passion for hunting down new threats, identifying gaps, and proposing solutions;
- Strong written and verbal communication & Leadership – Ability to mentor, collaborate, and communicate technical concepts effectively.
Preferred Qualifications:
- Proficiency in Rust, familiar with ELK stack, Redis or similar technologies is a plus;
- Experience analyzing large datasets to detect anomalies, fraud, and suspicious behaviors is a big plus;
- Experience working in an on-prem environment.