课程名称：信用风险建模（EM05227）
主 讲 人：金祖胜博士
（美国Merkle 公司统计分析部主管）
授课时间：从11月4日晚7点开始(每天一次)
讲授地点：科大东区管理科研楼10层1008教室
举办单位：管理学院统计与金融系
CFC金融信息研究中心
课程介绍
本课程属于金融工程专业研究生的专业任选课，两个学分。欢迎所有感兴趣研究生和高年级本科生者参加！
本课程旨在提供金融服务及其它行业的应用统计的实际操作经验。通过实际统计建模的操作流程实例，同学们可以练习统计建模的过程，从开始到结束。课堂教学包括具体的统计预测建模的步骤以及其背后的理由。希望通过此课的训练，同学们可以了解统计建模的流程，融合最新建模理念，提高自身就业的竞争能力。
主讲人介绍
Shawn Jin, Director, Quantitative Solutions, Merkle Inc.
● Shawn has over 12 years experience in predictive modeling, data mining and analytical consulting in consumer and financial services industries. He worked on numerous analytical projects for a wide spectrum of Merkle clients from pharmaceuticals, credit card, telecommunications, insurance, auto finance industries including CapitalOne Credit Card, Washington Mutual, American Online, Geico and CapitalOne Auto Finance and others.
● Prior to Merkle, Shawn worked for CapitalOne in the Marketing and Analysis area responsible from developing statistical models and strategies. There Shawn has worked on projects involves many phases of credit card and auto loan life cycles, including marketing, application, account utilization, risk and collections, and recovery phases. He also has many experiences on design of experiments, application decision systems and valuation (NPV) modeling.
● Shawn holds advanced degrees of MS in Applied Statistics and Ph.D in Statistics, both from Purdue University.
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