[Chubb Life] Assistant Director, Distribution Administration, Compensation & Reporting

▪ Experience Leadership of the Analytics team and line management of Lead

▪ Research Analysts, including performance management and evaluation of personal development

▪ Overall responsibility and accountability for the quality and timeliness of the project deliveries, resource management, technical support for team members and communication of the progress to the Senior Leadership Team

▪ Providing support and advice to the Senior Leadership Team in the delivery of the organization’s strategy and objectives

▪ Managing day-to-day operations in the Analytics team alongside

▪ Lead Research Analysts, including prioritization, project assignment, project pipeline, workload management, and risk management

▪ Providing technical leadership and support to other team members through organized training sessions, ad hoc project advice and support on making technical decisions

▪ Building and maintaining strong relationships internally and externally in order to facilitate Analytics’ involvement with projects across all business areas and development of new analytical opportunities

▪ Assessing new Insurance datasets and analytical propositions, and contributing to business development through writing tender responses or attendance at external meetings

▪ Being accountable for the quality of the analytical deliveries and conducting and managing the quality assurance of the outputs produced by the Analytics team

▪ Representing the Analytics team in various internal and external meetings to either present project work or provide analytical advice

▪ Ensuring knowledge and experience is shared within the team and the wider business

▪ Driving the ideas generation for research and development work within the Analytics team

▪ Showing initiative in implementing improvements to products and processes within the business

▪ Further developing domain knowledge in insurance and expertise in datasets and analytical methods used in the industry

▪ Further developing technical skills, including analytical software and advanced analytical methods ...)

▪ Bachelor/Master Degree in a quantitative discipline (e.g. mathematics, statistics, epidemiology, economics) or a scientific discipline with demonstration of excellent analytical skills

▪ Knowledge of at least one analytical programming language (e.g. Microsoft SQL Server, R, Python) and familiar with Data visualization tool like Power BI/Qlik sense

▪ Good understanding of statistical techniques that are commonly used

▪ Experience in a leadership position, including project management and team management

▪ Strong time management, organizational skills communication, and presentation skills

▪ Experience working in a collaborative environment, including supporting and teaching other team members