Responsibilities

About TikTok U.S. Data Security TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Manage end to end large-scale quantitative analysis projects and monitoring systems. Apply investigational and analytic skills to monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules. Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management. Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented. Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences. Provide analysts with guidance on fraud policies and enforcement measures.

Qualifications

Qualifications Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Data Analytics, Statistics, Mathematics, or a related field, and 1 year of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Data Science, Data Analytics, Statistics, Mathematics, or a related field, and 3 years of related work experience. Of the required experience, must have 1 years of experience in each of the following: Constructing advanced queries using SQL; Analyzing historical data and applying root cause analyses to identify trends and patterns; Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL; Using Python to manipulate data for analysis and prediction, automate data load processes, and optimize reporting processes; and Developing and maintaining tables, views, indexes, datasets, and/or data pipelines to extract, clean, transform, load and maintain data across multiple databases. Employer: TikTok U.S. Data Security Inc. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $106400 - $177778 per year To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA #IND-DNI

Job Information