Client Analytics Manager
at HSBC
Posted a day ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Lead customer analytics and reporting to support business strategy for wealth and retail banking customers. Design and maintain dashboards, implement propensity models and campaign processes, and translate stakeholder requirements into actionable analytical metrics to drive customer-centric growth.
<Job Summary>
International Wealth and Premier Banking is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become one of the world’s largest global wealth managers with USD1.4 trillion in assets. Our dedicated colleagues serve millions of customers worldwide across the entire spectrum of private wealth, ranging from personal banking for individuals and families, through to business owners, investors and ultra-high-net-worth individuals. We provide products and services such as bank accounts, credit cards, personal loans and mortgages, as well as asset management, insurance, wealth management and private banking, that best suit our customers’ needs.
- People Responsibility: N
- Reports To: VP Client Analytics
- Job content
- Analyze banking data across customer, transaction, deposit, investment, and product domains to support business strategy
- Provide customer centric initiatives by customer analytics for business growth and issues identification
- Design and maintain management reports, dashboards, and ad-hoc analysis for business and management teams
- Implement standard campaign process by regional guideline for campaign execution and performance evaluation
- Implement Propensity model to prioritize customer potential for targeting strategy and conversion rate improvement
- Work with stakeholders to translate business requirements into data definitions and analytical metrics
<Skills Requirement>
- Bachelor’s degree or above in Statistics, Computer Science, Mathematics, or related disciplines
- Posses relevant experience in data analysis, MIS, or reporting within banking or financial services
- Strong data analytic skill with hands-on experience in SAS, SQL or Python, and working with large-scale databases or data warehouses
- Proficiency in Excel and at least one BI or analytical tool (e.g., Power BI, Tableau, Qlik Sense)
- Solid understanding of banking and financial products, including wealth management, deposits, loans and cards
- Familiarity with customer analytics, segmentation, or campaign performance analysis
- Strong interpersonal and communication skills, with the ability to translate data insights into clear, actionable message for non-technical stakeholders
- Fluent in both Chinese and English
- Exposure to AI / ML use cases is preferred
- Experience in integrating external open-source data with internal banking data to develop analytical use cases and business application is preferred
※ Applicants passing resume screening will be notified for interview and next steps. There will be no further notification or message for applicants either not qualifying for or not being selected for the position applied.
