1. Support the formulation of risk management strategies across the entire platform, utilizing digital and strategic approaches to prevent and manage risks associated with malicious users and organized groups.
2. Continuously feedback comprehensive data and risk analysis to scanning strategies and models, enhancing their capabilities; establish a comprehensive monitoring system to continuously track risks and promptly address risk warnings, ensuring the integrity and effectiveness of risk strategy deployment.
3. Conduct high-quality investigative analysis based on tasks generated from risk strategy warnings and specific situations, and be able to promptly respond to identified high-risk clients.
4. Actively explore methods and means to enhance customer experience during the risk prevention and governance process, employing innovative ideas to solve problems.
Job Requirements
1. Bachelor’s degree or higher, preferably in Computer Science, Mathematics, Statistics, Finance, or related fields.
2. Solid data foundation, familiar with data analysis tools such as SQL and Python, with project experience related to active risk control, identification of malicious users, and group identification; capable of effectively using tools to construct risk strategies, collaborating with business teams to automate the identification of malicious users and trading groups through strategic models, and forming relevant quantitative strategies (e.g., T+1, T+ a few hours) for appropriate governance.
3. Some capability in product requirements and data requirement coordination.
Business Data Analysis
Job Responsibilities
1. Responsible for collecting, organizing, and cleaning large volumes of data from multiple sources, ensuring data accuracy and completeness.
2. Design and generate clear and concise data reports and visualizations to effectively communicate key findings and recommendations.
3. Establish and maintain data models, regularly optimizing them to ensure their accuracy and effectiveness in a constantly changing environment.
4. Work closely with business departments to understand their needs, provide data support, and ensure that data analysis contributes to business decision-making.
Job Requirements:
1. 3-5 years of relevant data analysis work experience.
2. Experience in customer acquisition data analysis, such as channel new user acquisition and paid advertising.
3. Relevant experience in operational analysis data.
4. Proficient in data analysis tools such as Python, R, SQL, etc.
5. Excellent communication and teamwork skills, able to convey complex data results in a simple and clear manner to non-technical personnel.
6. Deep business understanding and insight, able to translate data analysis into concrete business recommendations.
Requirements
Risk Control Business Data Analysis
Job Responsibilities:
1. Support the formulation of risk management strategies across the platform's entire value chain, utilizing digital and strategic methods to prevent and manage risks associated with fraudulent users and groups.
2. Based on comprehensive data and risk analysis, continuously enhance scanning strategies and models, improve strategy and model capabilities; establish a complete monitoring system to continuously track risks and promptly address risk warnings, ensuring the integrity and effectiveness of risk strategy deployment.
3. Conduct high-quality investigative analysis based on tasks generated from risk strategy alerts and specific situations, and promptly address risk management for identified high-risk customers.
4. During the risk prevention and governance process, proactively explore ways and means to enhance customer experience, solving problems with innovative approaches.
Job Requirements
1. Bachelor's degree or above, preferably in Computer Science, Mathematics, Statistics, Finance, or related fields.
2. Solid data foundation, familiar with data analysis tools such as SQL and Python, with experience in projects related to active risk control, fraud detection, and group identification, able to effectively utilize tools to construct risk strategies and collaborate with business teams to automate the identification of fraudulent users and trading groups using strategic models, formulating relevant quantitative strategies (e.g., T+1, T+ several hours) and implementing appropriate governance.
3. Possess certain product requirements and data requirement coordination capabilities.
Business Data Analysis
Job Responsibilities
1. Responsible for collecting, organizing, and cleaning large volumes of data from multiple sources, ensuring the accuracy and completeness of the data.
2. Design and generate clear, concise data reports and visualizations to effectively communicate key findings and recommendations.
3. Establish and maintain data models, periodically optimizing the models to ensure their accuracy and effectiveness in a changing environment.
4. Collaborate closely with business departments to understand their needs, provide data support, and ensure that data analysis contributes to business decision-making.
Job Requirements:
1. 3-5 years of relevant data analysis work experience.
2. Experience in growth and customer acquisition data analysis, such as channel new customer acquisition and paid advertising.
3. Experience in operational analysis related data.
4. Proficiency in data analysis tools, such as Python, R, SQL, etc.
5. Excellent communication and teamwork skills, capable of conveying complex data results in a simple and clear manner to non-technical personnel.
6. Possess deep business understanding and insight, able to translate data analysis into concrete business recommendations.