Manager, Customer Analytics Manager, Customer Analytics …

in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Be the first to apply
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Be the first to apply
Manager, Customer Analytics
FWD spans Hong Kong & Macau, Thailand, Indonesia, the Philippines, Singapore, Vietnam, Japan and Malaysia. In Hong Kong, FWD offers life and medical insurance, general insurance, employee benefits, and financial planning. FWD is focused on creating fresh customer experiences, with easy-to-understand products, supported by digital technology. Through this customer-led approach, FWD aims to become a leading pan-Asian insurer that changes the way people feel about insurance.

FWD is the insurance business of investment group, Pacific Century Group. The life insurance and general insurance operating entities have been assigned strong financial strength ratings by international rating agencies. While FWD Life Insurance Company (Bermuda) Limited (Incorporated in Bermuda with limited liability) has been affirmed 'A3' by Moody's and 'A' by Fitch, FWD General Insurance Company Limited has also received 'A' rating from Fitch, all with a stable outlook.

In Hong Kong & Macau, FWD has been providing quality services to around 504,000 customers with over 730 staff.

If you are looking for a company where can fuel your inspiration and cultivate your expertise, join us on our exciting journey.
Job Summary
Develop business and customer analytics to drive business objectives. Support FWD customer engagement strategy (sales & services) through the use of analytics and customer relationship management and promote data-driven culture across the organization.

The Job
CRM & Campaign Management
  • Develop customer journey with products, sales & marketing activities such as upsell/ xsell, next product recommendation, retention, etc.
  • Implement end-to-end campaign management process to uplift product holding and improve customer experience

Data Analysis & Advanced Analytics
  • Initiate data analysis, generate customer insights and identify business opportunities to enhance customer stickiness and profitability
  • Develop AI capability & predictive models by means of machine learning techniques including logistic regression, decision tree, clustering, artificial neutral network

Big Data & Analytics Strategy
  • Collaborate with business users across the organization to assess their needs and define big data and analytics strategy
  • Drive the development and implementation of relevant projects includes data warehouse/ data lake, BI data visualization and CRM solution platform

The Person
  • University graduate in Quantitative Analysis, Statistics, Mathematics, Decision Science, Computer Science, Data Science or a related quantitative field
  • Minimum of 5 years' experience in insurance companies, banks or financial institutions
  • Proven track record in data analytics, business intelligence, customer segmentation and CRM campaign management
  • Proficiency in SAS & SQL is essential
  • Experience in Machine Learning tools (e.g. R, Python) and Big Data tool (e.g Hadoop) is an advantage
  • Strong numerical acumen with in-depth experience in statistical modeling and analytics
  • Solid understanding in life insurance products and sales & marketing function
  • Able to work independently, creative and detail-oriented
  • Strong interpersonal skills and a good team player

We offer 5-day work, 20-22 days annual leaves, excellent learning & development opportunities and an attractive package to the right candidate.

Information collected will be treated in strict confidence and used solely for recruitment purpose. The company will retain all applications no longer than 24 months of which will be destroyed thereafter. When there are vacancies in any of our subsidiaries, holding companies, associated or affiliated companies of, or companies controlled by, or under common control with the Company during that period, we may transfer your application to them for consideration of employment. We are an equal opportunity employer. We do not discriminate on the basis of race, sex, disability or family status in employment process.