职位要求：

统计、数学、计算机、金融硕士以上学历;

英语书面良好，口语良好，能用英语描述工作经历和项目经历；

熟悉多种机器学习算法，并具备良好的模型调优能力， 熟悉分布式计算相关技术;

熟悉Scala/Java/Python语言编程，对数据结构和算法设计有较为深刻的理解;

具有良好的逻辑思维能力和数据敏感度;

优秀的分析和解决问题的能力，对挑战性问题充满激情;

具备良好的团队合作精神，较强的沟通能力;

The ideal candidate is a creative and passionate problem-solver who thinks big and is motivated to develop new approaches to optimizing business using quantitative techniques and cutting-edge technology.

What You'll Do

• Perform large-scale statistical research, analysis, and modeling of digital data to support forecasting and business planning

• Development and continuous improvement of predictive models related to product performance and reliability utilizing a combination of structured and unstructured data, data mining, machine learning, and statistical analysis

• Perform state-of-the-art research into deep learning approaches and methodologies

• Work with colleagues to develop and deploy useful data products and data driven software as required

   

Qualifications

• Bachelor/ Master/PhD degree in a quantitative coursework such as Engineering, Computer Science, Mathematics, Statistics, Physics, Economics, or Finance or equivalent practical experience

• Knowledge of linear algebra, partial differential equations, Bayesian statistics, and boundary value problems preferred

• 1 year hands-on work experience in Data Science and Analytics or project experience in Machine Learning or Business Intelligence

• A solid grasp of predictive models and complex descriptive analytics, clustering and market based analysis

• Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc.

• Experience with a programming language (e.g. Python, Java, C++) and a statistical software (e.g. R, Matlab, SAS, Stata); Understanding of large scale data processing methods (MapReduce) strongly preferred

• Experience utilizing at least one of the following structured data sources (SQL, My SQL, MS SQL Server) required; Experience with non-structured data (Hadoop, noSQL) strongly preferred

• Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills required

• Distinctive problem solving and analysis skills, combined with impeccable business judgment

• Strong problem-solving skills and trouble-shooting skills. Anticipate, identify, track and resolve issues and risks affecting own work and work of the project team

• Entrepreneurial interest and business sense.

• Strong written and verbal communication skills in both English and Chinese.

General understanding of financial concepts is preferred.