[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