Job Opportunities at Momentum

Role Purpose    

• To be involved in all analytics related aspects of the management of a short-term insurer; including performance remuneration, product development, experience monitoring, process optimization, and other ad-hoc projects. This is a broad technical role that will require a passion for data science.
• The role will require accountability for key BAU processes but will be more focused on ad-hoc projects involving a range of key areas and processes of a short-term insurer. This role is ideal for a candidate with exceptional analytical and data science skills looking for an opportunity to explore the application of and grow their skills in the insurance sector.

Requirements    

• Degree in Actuarial Science, Statistics, Business Sciences, Business Mathematics. Other degrees or postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered.
• Actuarial candidates need to have passed all CT’s and CA1.
• 2 years or more experience in statistical modelling or an analytical role
• 2 years or more experience in Microsoft Excel, SQL
• Experience in modelling software such as R and Python required
• Experience in the Short-term insurance industry will be advantageous.

Duties & Responsibilities    

• Data collection, verification and management
• Extract insights and recommend appropriate actions through statistical modelling and data analysis
• Design and build analytical solutions to meet business needs
• Reporting on any analysis, modelling or solutions developed
• Remuneration modelling management

Competencies    

• A quick learner
• Independent self-starter
• Energetic and strong sense of urgency
• Self-disciplined and self-motivated
• Enthusiastic and passionate attitude to the job and company
• Effective communication skills (written and verbal)
• Exceptional analytical and technical skills with an interest in machine learning.
• Ability to work well in a team and independently.
• Financial and Business acumen
• Problem solving skills
• Integrity and honesty
• Passionate about data