Anti-Fraud Strategy-Risk Control

1. Responsible for the implementation of anti-fraud risk strategies and communication of implementation details 2. Responsible for the deployment, testing and online deployment of risk rules in the decision-making engine, configuring the decision-making engine according to the rules, and flexibly responding to business adjustment needs 3. Promoting feature mining of own data and third-party data, and evaluating and verifying data mining results 4. Monitor risk-related data of each business line and establish an early warning monitoring system and response measures.

1. Bachelor degree or above 2. Proficient in using data statistics tools such as SQL/Hive/Spark, and proficient in at least one common language such as Python/R 3. Have more than 3 years of experience in anti-fraud risk control strategy management or modeling. Priority will be given to those who meet the following conditions: 1. Have experience in account security, transaction fraud, and activity cheating 2. Have experience in natural language processing, relationship networks, reinforcement learning, and deep learning 3. Have experience in Internet finance and financial data intelligence in banks.