1. Reconstructing the old data platform:- Utilizing Kafka, Flink, Elasticsearch, and PostgreSQL technologies to reconstruct the existing data platform, enabling near real-time data analysis- Optimizing data stream processing and query performance to improve the overall efficiency of the data platform- Utilizing Kafka to achieve multi-database synchronization, meeting the data needs of various application scenarios, and improving data read efficiency and system performance.2. Establishing the metrics system:- Designing and implementing a metrics system for customer, sales, and operations roles to measure and optimize the performance and results of each department- Regularly evaluating and adjusting the metrics system with department heads to reflect changes in company strategic goals and market environment3. Automating customer acquisition:- Developing automated customer collection, screening, and distribution processes to improve customer acquisition and management efficiency- Providing BI scenario support to achieve a fivefold increase in customer acquisition efficiency, driving company business growth

1. System Architecture:- Responsible for designing system architecture from scratch to meet project requirements and performance indicators- Collaborate closely with the data team to optimize data storage and retrieval strategies, improving system performance- Participate in the design and implementation of large-scale data processing systems to support real-time and historical data analysis2. Algorithm Design:- Successfully achieve data collection and buy/sell point calculation for each A+H share stock within 10 milliseconds, ensuring data processing efficiency meets business needs- Implement customized data processing and calculation logic for different business scenarios to meet the diversified needs of the company3. Data Integration:- Interface with third-party data sources, integrate various financial data, and provide richer data support for trading strategies

1. Big data platform- Design and implement a real-time big data platform to support Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) capabilities- Provide data solutions for the company's data needs, including optimization of data storage, processing, and analysis- Collaborate closely with the team to ensure the stability and scalability of the data platform, meeting the needs of business growth2. missing debtors recovery:- Gather and integrate data from various sources to locate missing debtors- Develop effective debt recovery strategies and improve recovery efficiency through data mining and analysis techniques- Maintain good communication with partners and team members to collectively enhance the process of locating and recovering missing debtors3. Anti-fraud risk monitoring:- Utilize data mining and machine learning techniques to identify potential fraud risks and suspicious activities- Develop and optimize anti-fraud models to reduce the company's risk exposure- Report discovered fraud suspicions to relevant departments in a timely manner, enabling appropriate prevention and response measures

1. Customer Relationship Management:Responsible for maintaining and expanding corporate client resources, establishing good relationships with clients, and providing professional financial servicesRegularly understanding client business dynamics, accurately grasping client needs, and providing personalized financial products and service solutions2. Business Expansion and Promotion:Actively expanding corporate client business according to the company's business development strategy, including but not limited to loans, deposits, international settlements, and wealth managementParticipating in the promotion and publicity activities of financial products to increase corporate clients' awareness and satisfaction with ICBC's financial products3. Credit Approval and Risk Control:Responsible for the credit approval process for corporate clients, including collecting loan application materials, reviewing corporate credit, and assessing collateral measuresWorking closely with risk management departments to ensure credit risk is within a controllable range and improve asset quality