Job Responsibilities:
1. Data Analysis: Independently deliver quality analysis and develop an in-depth understanding of large datasets in a timely manner; Apply various techniques for profiling, pattern identification and feature extraction, etc.
2. Scoring Models: Track and update the predictive models including application, behavior and collection scorecards.
3. Documentation Preparation: Documents related to scorecard development and implementation, credit risk policy management, etc. to showcase the associated benefits and convince the related internal and external audience.
4. Communications: Ensure clear & effective lines of communication with relevant business units.

Skill, Knowledge & Experience:
1. Undergraduate degree in Mathematics, Statistics, Econometrics, and Finance preferred, graduate degree is a plus.
2. Good analytical, numerical, problem solving skills.
3. Good technical skill on SAS is a must, SQL is a plus.
4. Good understanding of retail portfolios (auto loans/mortgage/credit cards/consumer lending. etc.).
5. Hands-on experience on modelling, retail portfolio analysis.
6. Team player with can-do attitude.

工作内容：
1. 数据分析：及时独立完成高质量数据分析，对繁杂的数据处理有其深层次的理解。能够运用各种技术进行客户画像，模式识别及特征提取等。
2. 评分卡模型：对申请评分卡、行为评分卡及催收评分卡等预测模型进行监测和更新。
3. 文档准备：准备评分卡开发实施过程、信用风险政策管理等技术文档，供内外部利益相关者了解并确信相关成果。
4. 沟通：能够确保与各相关部门清楚有效地沟通。

任职要求：
1. 本科学历，倾向于数学，统计，计量经济学，金融学等相关专业，研究生学历优先。
2. 具备良好的分析、问题解决能力，对数字敏感。
3. 具备良好的SAS技术，具备 SQL能力更佳。
4. 对于零售资产组合（车贷/房贷/信用卡/消费贷等）具备一定的了解。
5. 具备建模、零售资产分析的实践经验。
6. 良好的团队合作能力，工作态度积极进取。

上班地址：浦明路160号财富广场F座