Develop detailed project plans to monitor and track project progress and provide timely and accurate project status reporting to clients and internal teams.
Manage and maintain comprehensive project documentation to ensure all project requirements are fulfilled, including what was done, what was achieved, and what could have been done differently.
Responsible for ensuring payment milestone and billing process run smoothly.
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Earn opportunities to lead event shifts and mentor interns as you gain confidence.
Ready to make live experiences people remember? By working with us at LAB Activation, you will help craft brand activations, pop-ups, and corporate events that connect communities and create real impact.
Your role is a builder: you will design and scale repeatable event programs from concept through post-event wrap, helping our team deliver smooth, memorable on-ground experiences.
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Coordinate external audits, statutory financial statements, tax matters, and group consolidation where required.
Manage tax compliance, including timely submissions and coordination with tax advisors on corporate tax, withholding tax, SST, and other relevant tax matters.
Manage transfer pricing matters, including documentation, related-party transactions, management fee charge-outs, and intercompany arrangements.
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Design and maintain Power BI dashboards, leveraging AI and data analytics tools to track risk indicators, compliance breaches, and key metrics, and translate complex data into actionable insights.
Drive automation and continuous improvement of risk and compliance processes (e.g. reporting, monitoring, onboarding), and leverage RegTech solutions to enhance efficiency and effectiveness.
Conduct investigations into potential breaches, recommend remediation actions to strengthen internal controls, and collaborate with internal stakeholders, auditors, and regulators to ensure effective implementation.
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Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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