The Lazada Business Risk & Security organization is responsible for protecting the eCommerce activities of over 560 million consumers, more than 155,000 sellers, and the 3,000 brands on Lazada’s growing ecosystem. To provide a sustainable and healthy platform for all parties, we’re increasing our investment in business security and significantly expanding our team – this is a chance to be part of and shape the future of a strategic group within Lazada.
As business risk team members, you will have access to our full suite of big data analytical tools and risk decision engine, getting exposure to machine learning and anti-fraud models.
-Subject matter expert on advertising compliance & policy across SEA countries
-Develop and maintain the overall regional workflow strategy. Identify and mitigate risk from a delivery standpoint and ensure compliance with all internal policies and procedures.
-Review vendor data, identify process improvement opportunities and drive improvement of vendor performance.
-Maintain strong cross-functional partnerships with partnerships, policy, legal, engineering, data, business, product, and other teams in order to implement optimal solutions to product-related problems as well as outsourcing needs
-Create data models to forecast long/short term business volume, set up multi-dimension capacity plans and determine the optimum one by balancing customer experience, employee experience, and cost-effectiveness, contributing to consistently achieved SLA goals.
-Identify best practices and trends in the outsourcing landscape to benchmark our processes and practices
-Bachelor's degree or equivalent practical experience.
-Min 2+ years experience in operation, program management, policy development, or data analytic. Experience in Ads, Digital Marketing or Trust & Safety is a plus
-Excellent problem-solving, critical thinking, and analytical skills.
-Ability to operate simultaneously and effectively in both tactical and strategic modes
-Proficient skills on EXCEL and good at data analyzing, familiar with formulas and Pivot Tables. Experience with SQL and analytical tools (SAS, R, Python).
-Fluent English in both written and spoken