Perform customer segmentation and profile analysis through advanced statistical modeling / data mining / AI & ML technologies to provide insight for segment strategy and identify business opportunities
Develop and enhance propensity / predictive models to support CRM strategies related to change of customer behavior or specific event trigger, eg. customer acquisition, upgrade and retention
Compile MIS reports and conduct analysis across customer, product and channel perspectives to identify potential customer and deliver actionable insights and recommendations to business units for developing portfolio and product strategy
Assist business units in applying propensity / predictive model and customer segmentation model in marketing campaign to drive business performance, evaluate and enhance model effectiveness to improve campaign efficiency
Develop and enhance MIS report automation to help improve campaign efficiency
Requirements:
Degree or above with major in quantitative, numerical science or related discipline
3+ years' experience relating to data analytics or modeling, at least 1 years of which at managerial level
Proficiency in SAS, Python, R or similar analytically oriented programming languages, experience in model development covering segmentation, acquisition, attrition, cross-selling and related applications
Experience in Banking, Financial Services or FinTech industry preferred
A mature self-starter with strong drive, motivation, committed with good business sense and strong understanding of the personal banking market
Excellent interpersonal and communication skills with excellent written and spoken English and Chinese, knowledge of Mandarin would be a definite advantage
Candidate with more experience will be consider as Senior Customer Analytics & Data Science Manager
