Responsibilities
1. Develop risk control technology in the international product business domain use rules/algorithms/models to combat risks in international business, including but not limited to fake accounts, whitewashing and likes, spam diversion, information theft, fraud for profit, etc. 2. For a given business party, take overall responsibility for measuring and reducing the risk level in the corresponding product field lead long-term and short-term risk control techniques and tactics to ensure that the execution and output of strategies meet expectations, and win the trust of business partners and product users 3. Combined with the business development direction, build a long-lasting, efficient, modular and portable risk prevention and control system, improve the competitiveness of risk control solutions in machine learning, analysis and defense depth, and reduce risk control costs in the face of new businesses and new cheating methods.
Qualifications
1. Bachelor degree or above in related majors 2. Have solid engineering capabilities proficient in operating at least two of Linux, Hadoop, Hive, Spark, Storm and other related engineering tools 3. Familiar with data mining or machine learning proficient in deep learning, timing/graph learning, semi-supervised/unsupervised/transfer learners are preferred 4. 1 year or more of data mining or machine learning experience in relevant fields in the industry, such as search sorting, recommendation, advertising, anti-cheating, financial risk control, etc. strong algorithm, engineering and system design capabilities 5. Thinking and communication, objective and comprehensive, data-driven, self-motivated and resistant to stress 6. English listening, speaking, reading and writing skills to meet business and technical communication needs.
