Lead Software Engineer, E-commerce Risk Control

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

**The E-Commerce Risk Control (ECRC) team is missioned**:

- To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator;
- By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;
- Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

The ECRC team works to minimize the damage of inauthentic behaviors on Tiktok e-Commerce platforms (e.g. TikTok Shop, Jumanji, Fanno), covering multiple classical and novel community and business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage 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. Our 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, transferable, while still down to the ground to making quick and solid differences.

**Responsibilities**:

- Enable and contribute to establishing fast and continuous threat response, in partnership with risk data scientists and product partners, by building advanced analytical tools and data insights.
- Enable and contribute to establishing robust, powerful and privacy-aware automated defense, in partnership with risk data scientists and infrastructure and platform partners, by creating and improving risk control rules, machine learning models and product initiatives.
- Enable and contribute to establishing scalable, reliable, generalizable and customizable risk detection and perception solutions that would be transferable between products, markets and risk areas, which could help the future of risk data mining be more modularized, scalable beyond linear analytical head count.
- Own technical measurement and improvement of risk level of a specific business area (user growth, transaction, recommendation, search, campaign, logistic fufilment ). Define and coordinate planning, execution and generalization of risk solutions. Drive and take responsibility for adversarial risk control campaigns. Support area stakeholders' ongoing risk control needs.
- Solid technical / data-mining skills and ability to work with large volume data to identify and abstract abusive behavior patterns in Tiktok products. Proficiency in Linux, Hadoop, Hive, Spark, Storm.
- 4+ years of strong industry experience in predictive analytics and/or statistical modelling. Successful tracking records in solving large scale data mining problems such as relevance, recommendation, anti-fraud and relevant financial problems. Strong coding (backend, infra, algorithm) skills and system design ability.
- Strong technical leadership combined with hands-on data mining and machine learning skills and passion to work with Tiktok's data scale and business complexity. Be able to identify, plan and lead to execute both quick win tactics and long term strategies against abusers on our platforms.
- Strong ownership, communication and collaboration skills to end-to-end own one or more critical platform/community security business fronts that are highly adversarial, ever expanding, and by nature widely cross functional.

Preferred