Data Analytics Manager (Big Data Risk Control)

Key Responsibilities:

• Responsible for establishing the analysis framework for business, transaction, user behavior, and risk control data;
• Build a core data indicator system covering areas such as business growth, transaction quality, risk alerts, anomalous behavior, and operational efficiency;
• Design and optimize big data analysis models, risk identification rules, and anomaly detection logic;
• Develop data dashboards, as well as daily, weekly, and alert reports, to provide decision-making support to management and business teams;
• Collaborate with technical teams to implement the data pipeline, including collection, cleaning, storage, processing, and analysis;
• Identify business risks, such as anomalous transactions, accounts, access patterns, and fund flows;
• Oversee recruitment and supervision of the Data Team.

Key Requirements:

• Higher Diploma or above in Statistics, Data Science, Mathematics, Computer Science, or related fields;
• Experience in big data analysis, data-driven risk control, transaction analysis, or growth analysis;
• Proficiency in SQL, with strong capabilities in data extraction, cleaning, analysis, and modeling;
• Familiarity with the development of data warehouses, data metric frameworks, BI dashboards, and real-time monitoring systems;
• Experience in payments, finance, transactions, digital wallets, cross-border business, or risk control systems is preferred;
• Ability to identify business issues through data analysis and drive collaborative solutions across business, technical, and risk control teams;
• Experience in team management and the ability to build data analysis and risk control analysis frameworks from scratch (0 to 1);
• Familiarity with big data technologies such as Python, Spark, Flink, Hive, ClickHouse, and Kafka is preferred;
• Excellent communication skills. Proficiency in both Mandarin and Cantonese.