Ant International-AML Operation-COO

岗位描述
Ant International GRM (Global Risk Management) is the department responsible for managing account security, fund security, anti-money laundering, content security, data and information security, as well as system platform security for Ant International.
Here, you will encounter complex business scenarios spanning different regions and cultures across the globe.
Here, you will face challenges in global multi-center deployments with low-latency data connectivity across intercontinental data centers.
Here, you will tackle challenges in billion-scale data system architecture and performance optimization.
Here, you will confront challenges in real-time processing of complex online risk control features and model computation.
We look forward to meeting technical professionals who dare to accept challenges and continuously break through their own limits to fight side by side with us!

1. Build security-related data systems based on the security data platform, continuously integrate relevant tooling products, and establish foundational security computing layers;
2. Participate in the design and development of offline, near-real-time, and real-time security data systems, including data processing, computation, ETL, management, and monitoring;
3. Gain deep understanding of security business operations, design data models based on requirements, continuously iterate and deliver business outcomes, and provide constructive feedback on dependent engine designs.

岗位要求
1. 3+ years of experience in data roles, with deep understanding of data warehousing, data analytics, and data mining domains; rich experience in data architecture, expertise in data modeling and ETL design and development, and hands-on experience processing massive-scale data with performance optimization;
2. Proficiency in SQL, Java UDFs, HiveSQL, MaxCompute SQL, and other big data technologies for ETL development; solid development skills in Java and/or Python;
3. Experience in cutting-edge internet risk control business is preferred; experience with graph databases and data mining development is a plus;
4. Innovative mindset, strong logical thinking and synthesis abilities, and excellent communication skills are preferred;
5. Bachelor's degree or above in computer science or related fields.