Design and build a unified platform/middleware system that can support diverse business requirements across different scenarios, including low cost, high availability, high throughput, high performance, and large-scale storage capacity.
Design and optimize complex multi-tier storage architectures beyond GPU memory, CPU memory, and external storage, with a focus on efficient data placement and resource utilization.
Keep up with the latest advances in software and hardware architectures, and proactively evaluate and experiment with emerging technologies.
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Effectively lead the entire lifecycle of complex server deployment projects within large-scale data centers, commencing with planning, execution, and closing. Throughout this process, ensure the optimal resource utilization, and achieve rapid and high-quality delivery.
Develop and manage server deployment project schedules, identifying risks and mitigation strategies, while ensuring timely delivery of milestones and objectives.
Drive cross-functional collaboration with teams such as Supply Chain, Data Center Operations, and Data Center Development to align project requirements and deliverables.
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Support planning and execution of Indonesia market activations: roundtable dinners, industry association meetups, customer gatherings, and partner co-marketing events
Get hands-on with the full event lifecycle — from vendor coordination and guest list management to on-ground ops and post-event reporting
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Opportunity Identification: Gain in-depth insights into user behaviors, deliver optimization recommendations via qualitative and quantitative analysis to identify new growth drivers for the business.
Metric System Development: Design core metric frameworks aligned with the business value chain, align team objectives and unified measurement standards, and guide the iteration of models and operational strategies.
Business Improvement Enablement: Evaluate operational strategies with experimental analysis, causal inference and statistical modeling, drive strategy optimization to boost business revenue and decision-making efficiency.
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Drive insights-driven risk work within the Risk Control team through developing, implementing and monitoring business data to promptly identify and address risks, as well as to drive process improvements, and support continuous risk monitoring implementation with data analytics.
Collaborate with cross-functional teams, including all three lines of defence, for in-depth data-driven risk advisory support, process enhancement initiatives, and root cause analysis for fraud prevention.
Stay abreast of emerging technology, industry trends, and cutting-edge risks.
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Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Collaborate with business units to understand business models and inherent risk exposures. Detect suspicious transactions and assist in developing effective transaction monitoring rules.
Design and maintain monitoring effectiveness matrices and dashboards to assess rule performance.
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