蚂蚁金服Ant International-AML & Risk Operation Analyst-Malaysia

Job Responsibilities: The AML/CFT Operation Management Senior Specialist/Expert plays a crucial role in ensuring compliance with Anti-Money Laundering (AML) regulations and safeguards the integrity of financial transactions within the organization. The ideal candidate will have in-depth knowledge of AML/CFT end-to-end operations processes, including KYC/onboarding, Sanctions, PEP, and Adverse Media reviews, as well as Transaction Monitoring and Suspicious Activity Information (SAI) filing. What you will be responsible for includes: - Assist in regulatory projects such as licensing and regulatory reporting on behalf of AML regional operation teams. - Cooperate and coordinate with multi-functions to ensure AML/CFT regional operations (end-to-end operation execution processes) comply with AML applicable regulatory requirements. - Organize and lead the enhancement and execution of AML operation systems such as due diligence, BCM, and internal/external audits. - Ensure internal policies, procedures, and controls are well communicated and adopted across all AML regional operation teams. - Set up an effective mechanism to continuously monitor if operation processes are performed properly and proactively observe any abnormal execution deviations from procedures. - Consolidate and analyze the periodical compliance results in the fields of Process, System, and Training. - Ensure adherence to best practices and effectively share them within the team.

1、主导银行反洗钱、反欺诈决策引擎及操作平台的系统规划及落地，和业务密切沟通，对银行反洗钱系统的准确性指标负责，对后台运营的效率负责。2、主导银行后台系统的框架规划（包括用户信息管理、各类业务管理后台等），推动后台系统及业务流程优化。3、参与银行核心系统的产品规划。4、协调内部产品研发、合规、业务、运营等多部门资源，确保产品方案在技术实现与监管合规间的平衡落地。

Design and develop scalable backend services using Java and distributed system principles. Build and maintain high-throughput APIs, batch processing pipelines, and Mass Action services for fraud operations and NPI events. Develop new platform capabilities for ACM Next Gen, Sky Vault, and AML Services. Lead the engineering work required for infrastructure readiness and migration on Alibaba Cloud, including: ◦ Building ACM infrastructure on Alibaba Cloud. ◦ Supporting Kubernetes, OpenSearch, Solr, Kafka, and other platform components. ◦ Migrating AWS-based services to Alibaba Cloud services including OSS, ACK, and ApsaraMQ. ◦ Replacing AWS SDKs with Alibaba Cloud SDKs. ◦ Implementing China-specific data routing and ingestion logic. ◦ Updating deployment automation, CI/CD pipelines, and load testing for the Alibaba Cloud environment. Design reliable, scalable, and observable distributed systems with strong operational excellence. Partner with Product, Architecture, and partner engineering teams to define technical solutions and platform direction. Use AI tools and modern engineering practices to improve development productivity, code quality, automation, and platform innovation. Participate in production support, debugging, performance tuning, and operational improvements.

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