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.

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.

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Hồ Chí Minh

Full-time

Build data warehouse to collect and organize raw data from various data sources;
Create pipelines to process and transform raw data into usable information for downstream systems;
Take part in building data governance: data quality, data privacy, data storage,..

Bachelor's degree in Computer Science, Information Technology, or related field;
At least 1 year of experience as Data Engineer;
Knowledge of Apache Spark;
Experience in at least Java, Scala or Python programming languages;
Experience with large amounts of data, preferably experience with building and maintaining scalable data pipelines;
Good in thinking, observing and analytics;
Proactive thinking and ability to work independently while being a strong team player;
Open-minded and excited to learn new things. Have strong opinions but willing to change with new data.

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