OTT Trust & Safety Manager, Zalo

What you will do

• Propose policy and strategic plan to maintain dignity, trust of product;
• Detect and prevent spam, crawler, phising, scam, illegal/dirty content, automation tools, and stimulation;
• Pro-actively detect phishing, scam trends and reaction quickly to minimize the possible consequences;
• Identify abnormal trends and abuse in cross features via data mining, machine learning;
• Monitor and evaluate the effectiveness of anti-abuse systems and make data-driven recommendations for improvement;
• Partner with legal and law enforcement agencies to investigate and address cybercrime;
• Work closely with Product, and Engineering to deeply understand, identify, and execute abusing fighting projects;
• Lead subteams to meet the organization's expectations for productivity, quality, continuous improvement, and goal accomplishment.

What you will need

• Bachelor’s degree in information technology, computer engineering, information security or related field;
• Experience in detecting spam, phishing, automation tools;
• Hands-on experience in log analysis, extracting and interpreting data from the various sources;
• Technical proficiency regarding data models, mining, and segmentation;
• Ability to programming in Python, Unix scripting, AWK, Java;
• Understanding of Operation systems (Windows, Unix, iOS, Android);
• Have passion on anonymity, fraud, spam detection;
• Have good logical thinking, problem solving skills and ability to work under pressure;
• Knowledge of Automation technology (crawler, stimulation, ...) will be a plus point.