Overview

A top insurance provider is seeking a Statistical Data Scientist to join their team at their offices in Johannesburg.

The role will involve accountability for important BAU operations, but it will be more heavily weighted toward ad-hoc projects involving a variety of crucial areas and procedures of a short-term insurance. This position is perfect for someone with strong analytical and data science skills who is looking for a chance to explore the application of and develop their skills in the insurance industry.

This is a broad, technical role that is seeking a candidate with a passion for data science.

Key Responsibilities:

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

Required Competencies:

A quick learner Energetic and strong sense of urgency Enthusiastic and passionate attitude towards the job Effective communication skills (Written and Verbal) Passionate about Data Integrity and Honesty Problem solving skills. Ability to work well in a team as well as independently. Financial and Business insight Problem Solving Skills

Key Requirements:

Degree in Actuarial Sciences, 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. Minimum 2 years’ experience in statistical modelling/ analytical role Experience in Modelling software – R and Python required. Minimum 2 years’ experience in Microsoft Excel, SQL Experience in the Short- Term insurance industry will be advantageous.   

If you meet the above requirements and want to make a career-changing move, apply today by either filling in the online application form or by emailing your CV to Financialcareers@hireresolve.za.com.

Please note that correspondence will only be conducted with shortlisted candidates for this position.
Please consider your application unsuccessful if you do not hear from us within 3 days

 

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