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Data Analyst, Risk Data Mining, TikTok-US-Tech Services 37 views

TikTok is the leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

The Business Risk Integrated Control (BRIC) team of US Tech Service department is missioned to:
– Protect TikTok users, including and beyond content consumers, creators, advertisers;
– Secure platform health and community experience authenticity;
– Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on TikTok, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you’ll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Their challenges are not some regular day-to-day technical puzzles — You’ll be part of a team that’s developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities
– Build rules to recognize, mitigate or prevent risky inauthentic behaviors on TikTok and its extended platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
– Analyze business, product and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
– Quantify risk control effects and trends, collaborate with engineering, modeling, operational and product colleagues, contribute to risk measurement, perception, mitigation and prevention with data stories.

Qualifications

– Bachelor or degrees above in computer science, statistics, math, internet security or other relevant majors (e.g., finance if applying for financial fraud roles)
– Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python.
– Familiarity with social/content online platform analytics. Bonus given to proficiency in data mining skills e.g. modern machine applications.
– Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

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