Statistical Data Scientist
Found in: Talent ZA C2 - 3 weeks ago
Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations.
We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Metropolitan provides practical financial solutions for people, communities and businesses. Visit us at www.momentummetropolitan.co.za
Role PurposeTo 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-
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