Summary
Mensyne Wang is a风控模型师 with eight years of data and risk-modeling experience, currently leading end-to-end risk model design and iteration at 上海魅伽网络科技有限公司. With a solid statistics background and more than five years focused on credit risk and scoring systems, she excels at taking models from 0 to 1 while aligning technical solutions with business needs. Her career spans cross-border e-commerce analytics to fintech risk and reporting, giving her a practical grasp of diverse data environments and rule-based indicators. Known as an algorithm-focused engineer, she combines hands-on feature engineering, model development, and production iteration to deliver measurable risk mitigation. A detail often overlooked: she has repeatedly built repeatable model pipelines and metrics frameworks that speed up future iterations and governance.
8 years of coding experience
学士, Statistics, 学士, Statistics at 湖北工程学院