Support campaign execution which involves list extraction, campaign result tracking and post-campaign analysis and provide recommendations for subsequent campaigns.

Assist in perform data-mining model and/or statistical analysis to predict customer behavior (e.g. risk, response, profit, attrition and purchase), develop customer segmentation strategies and/or identify business opportunities.

Design, develop and automate regular business reports to monitor business performance

Minimum 2 year of experience in quantitative analysis / consumer finance / insurance / banking related business.

Hands-on experience in SAS / SQL, Microsoft Excel (including pivot table function and foundation of VBA), and understanding of relational database

Strong analytical with basic understanding of statistics application

Detail-oriented, strong business sense, communication and interpersonal skills

Able to work independently and under pressure

Proficiency in spoken & written English & Chinese