Customer Analytics & Data Science Manager (MIS & Modeling)

Hong Kong Job Consulting; Hong Kong; On-site; HKD 600,000 - 1,100,000; Full time

Job summary

Bank in Hong Kong is seeking a Customer Analytics & Data Science Manager to lead analytics initiatives for Personal Banking and Wealth Management. The role focuses on segmentation, predictive modeling, and advanced analytics to drive customer insight and business impact.

You will develop models, deliver MIS reporting, and collaborate with business units to optimize marketing campaigns and portfolio strategy. Strong English and Chinese communication skills are essential, with Mandarin a plus.

Qualifications

• Degree or above with major in quantitative, numerical science or related discipline.
• 3+ years' experience relating to data analytics.
• Experience in Banking, Financial Services or FinTech industry preferred.
• Excellent English and Chinese, Mandarin a definite advantage.

Responsibilities

• Perform customer segmentation and profile analysis using statistical modeling, data mining, AI & ML to inform segment strategy and opportunities.
• Develop and enhance propensity/predictive models to support CRM strategies for acquisition, upgrade and retention.
• Compile MIS reports and analyze customer, product and channel data to identify insights and inform portfolio and product strategy.
• Assist campaigns by applying predictive models and segmentation insights to improve campaign performance and ROI.
• Develop and enhance MIS report automation to improve campaign efficiency.

Skills

SAS

Python

R

Education

Bachelor degree or above in quantitative field

Job description

Customer Analytics & Data Science Manager (MIS & Modeling)

Job Openings Customer Analytics & Data Science Manager (MIS & Modeling)

About the job Customer Analytics & Data Science Manager (MIS & Modeling)

Customer Analytics & Data Science Manager (MIS & Modeling)

A reputable China-based Bank in Hong Kong is looking for a Customer Analytics & Data Science Manager to join her Personal Banking and Wealth Management Department.

Responsibilities:

• 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
• 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
• Less experience will be considered as our Deputy/Assistant Customer Analytics & Data Science Manager