The position is primarily responsible for the analysis of Accident & Health (A&H)’s and International Personal Lines (IPL’s) key business metrics across all A&H and IPL lines of business, including but not limited to SPL (Specialized Personal Lines) , Residential and Motor as well as AH (and Hybrid) Direct marketing campaign performance and campaign list generation on internal and external (partner) data, tracking of campaign KPIs, Customer Segmentation, lapse monitoring and support implementation of analytical solution across A&H businesses in Taiwan but also supporting Hong Kong and Indonesia .
Implementing AI initiatives Access to a wide range of top-tier AI projects across the APAC region , fostering continuous learning and growth.
Our team structure is flat and non-rigid, ensuring everyone has the opportunity to contribute to and rotate across different projects.
Design and build financial templates required for business reporting, performing analytical reviews and recommending remedial solution and action plans. Provide support for deployment of predictive models at partner site. Liaise with client’s IT team to get access to relevant data and share with Regional team to assist on model development.
Performance and monitoring of Campaign KPIs, model monitoring and communication of results with relevant stakeholders.
Generate leads file for Customer Management (cross-sell) and Partner (external) Campaigns.
Maintain Lapse tracking and Billing performance Dashboard. Support retention initiatives to control attrition of customers.
Build certain Direct Marketing/Digital acquisition propensity models with our Partners to increase response rate on all campaigns. They will involve spending time at partner premises, Collecting and building data models
Formulate analytical solutions to improve Customer Management & retention strategies, working closely with DM team, IT and Operations
Liaise with Regional and Global team to implement Best Practices in Analytics in the country
Top-tier AI projects, fostering continuous learning and growth.
Implementing AI initiatives (e.g., trainer bot, enrolment AI ingestion) for Hong Kong and Indonesia markets( with possible extenstion to projects in Singapore, MY & Thailand) , serving as the DM data SME
Leveraging Chinese , Thai and English language skills, which are essential for Taiwan due to data access restrictions, and valuable for engaging Regionwide partners and internal stakeholders
Regional DM modeling work for Hong Kong, Indonesia which includes:
Developing, implementing, and tracking Acquisition and POM models
Optimizing CM and Winback campaign funnels
Predicting customer lifetime value and implementing various conservation use cases
Participating in partner discussions to identify key areas for campaign improvement
Monitoring lapses and conducting in-depth trend analysis to engage partners and operations teams for remedial actions if necessary
Qualifications
IT knowledge to include MS Access, IBM DB2/Microsoft SQL server (for Databases and SQL), Microsoft office suite. Advanced knowledge of Microsoft Excel and Macro VBA will be preferred
Knowledge of at least one statistical package like Python or R is mandatory
Power BI or Qlik Sense or Google Analytic/Google Data Studio experience is preferred
The ability to analyze, model and interpret data
Good analytical skill, result oriented, creative
Have good interpersonal skills
Insurance and financial product knowledge preferred
5 to 7 years’ experience in Business Analytics, Data Analytics or MIS role. Experience in insurance industry will be preferred
Degree in Computer Science/Information Technology/Decision Science /Statistics/Mathematics or equivalent
The Employee acknowledges that this position may develop to include other tasks, which are commensurate with the Employee’s abilities, in addition to those recorded in this position description.
Skills Required
- 5 to 7 years' experience in Business Analytics, Data Analytics or MIS role
- Degree in Computer Science/Information Technology/Decision Science/Statistics/Mathematics or equivalent
- Knowledge of at least one statistical package like Python or R
- IT knowledge to include MS Access, IBM DB2/Microsoft SQL server, Microsoft office suite
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
