蚂蚁金服Ant International-Java Engineer-Risk Control-Malaysia
任职要求
1. Computer-related major, more than 2 years software development experience, familiar with Java programming language.
2. Familiar with basic knowledge such as OOP, concurrent programming, network programming, and database.
3. Familiar with systems or middleware such as distributed applications, caching, mes…工作职责
We are aiming to leverage AI and other leading technology and dedicated to provide safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., We are the leading platform with capabilities of high concurrent real-time risk calculations and massive big data analysis and processing. And as the core risk management tech platform for global payment business, we adopt a multi-center deployment architecture around the world. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. 4. Participated in the design of R&D of risk control systems and big data platforms. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems.
Ant International serves customers around the world, and we are dedicated to providing safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., involving very high concurrent real-time risk calculations and massive big data analysis and processing. It adopts a multi-center deployment architecture around the world. You are welcome to build it together. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in AML systems. Welcome you to meet the challenge. Responsibilities 1. Build data pipelines that clean, transform, and aggregate data from disparate sources 2. Work closely with our business analysis team to provide unique insights into our data 3. Build robust systems for data quality assurance and validation at scale 4. Partner with data analysts on refining the data model used for reporting and analytical purposes
About Ant International Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation that enables everyone and every business to thrive. In close collaboration with partners, we support clients of all sizes worldwide to achieve growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking Java Software Engineers to join our Indonesia team. In this role, you will develop and support end-to-end financial solutions for both domestic and cross-border financial services, driving success for our global clients and globalization business. Key Responsibilities Technical Support & Troubleshooting - Provide on-site and remote technical support for financial systems, ensuring minimal downtime and rapid resolution. - Diagnose and resolve Java application, Redis caching, and MySQL database issues, including vulnerabilities and middleware challenges. - Lead containment and remediation efforts for security incidents (e.g., data breaches, unauthorized access). - Perform root cause analysis (RCA) on critical incidents and implement preventive measures. System Maintenance & Optimization - Monitor system performance, review security logs, and conduct regular health checks. - Implement patches, vulnerability management processes, and system hardening for OS/database layers. - Collaborate with development teams to deploy patches, updates, fixes, and hotfixes in production environments. Client Communication & Requirements Handling - Act as the primary technical liaison between clients and Ant teams, ensuring security requirements are aligned with technical solutions. - Advise clients on secure system configuration aligned with industry standards (e.g., PCI-DSS, PDPA). Documentation & Knowledge Sharing - Develop and maintain detailed technical documentation, including incident playbooks, troubleshooting guides, and governance protocols. - Create client-facing materials on security best practices for credit data handling. Compliance & Collaboration - Ensure compliance with cybersecurity regulations and local credit industry requirements (e.g., PDPA, audit trails, access controls). - Conduct periodic security audits and coordinate penetration testing. - Partner with CybersecurityOps teams to implement intrusion detection/prevention systems (IDS/IPS).
● Conduct security assessments (SAST, DAST, SCA) and penetration testing to identify vulnerabilities in web/mobile applications and APIs. ● Perform risk analysis and provide actionable remediation recommendations. ● Collaborate with development teams to integrate security practices into SDLC (e.g., threat modeling, secure code reviews). ● Develop and maintain security standards, policies, and playbooks aligned with frameworks like OWASP, NIST, or ISO 27001. ● Engage with clients or internal teams to articulate security risks and mitigation strategies
AI Agent Engineering • Design, develop, and deploy production-grade AI agent systems, including multi-agent orchestration, tool-use frameworks, memory management, and API integration — ensuring reliability, scalability, and maintainability • Build and optimize Retrieval-Augmented Generation (RAG) pipelines: document ingestion, chunking strategy, embedding, vector search, and re-ranking to maximize LLM grounding quality • Support LLM adaptation to WWGS business domains through prompt engineering, context injection, fine-tuning signal curation, and systematic prompt evaluation frameworks • Develop automated knowledge base construction and real-time data access capabilities (Data Agent, MCP server/client) to connect AI agents with live business data • Design and implement LLM evaluation pipelines to systematically assess agent output quality, hallucination risk, and business impact Data Engineering • Design and implement end-to-end data pipelines (batch and streaming) for data collection, transformation, and storage — supporting both AI application and analytics use cases • Build and maintain integration layer data models that serve as a unified, AI-ready data foundation across WWGS domains • Develop automated data quality monitoring, alerting, and observability tooling to ensure pipeline reliability and data trustworthiness • Integrate multi-source data (seller behavior, transaction logs, off-platform signals, AI outputs) into a coherent, governed data layer • Establish data standardization and governance policies ensuring consistency, accuracy, and compliance across AI and BI consumption layers Technical Leadership • Provide technical guidance on AI-data architecture decisions; define best practices for the team's AI agent and data engineering stack • Collaborate cross-functionally with Product, Operations, and Science teams to translate business requirements into scalable technical solutions • Mentor junior engineers and conduct design reviews; raise the technical bar across the team