Anti-Automation Solutions (AA) is part of Business Integrated Risk Control(BRIC) team. Automated fraud refers to technical methods used by hackers to perform API abuse at scale using scripts and tools. Our vision is to establish an industry-leading team with a focus on end-to-end defense-in-depth systems with privacy and business needs in mind. We are responsible for continuously iterating over identifying and combating automated fraud through client environment inspection, risky signals collection, trusted computing, traffic validation, data mining and producing a wide variety of tools and subject matter services for business lines. - Responsible for the development, iteration, maintenance and technical support of risk control client side security components - Research and develop cutting edge techniques to detect and prevent app cracking - Competitive product analysis and product technology breakthrough - Work together with other stakeholders to research malicious tools, identify newest attacks and build anti-automation measures.
Minimum Qualifications - Strong passion for Information Security, especially binary security and reverse engineering - Deep understanding of Windows & macOS OS internals and proficient in C/C++, Objective-C, Java. Familiar with ARM/x86 assembly languages. With solid programming skills and good coding habits - Familiar with reverse engineering countermeasures and binary protection, experienced with code obfuscation, VMP, anti-debugging, anti-injection, malware analysis, etc. Preferred Qualifications - Bachelor or above degree in Computer Science or relevant disciplines with 3 years of working experience - Experience with Android or iOS security is a plus
Read Full Description