Actuarial Analyst / Senior Analyst – JohannesburgWe are offering an exciting opportunity for an individual seeking to grow their career by joining our Data & Analytics Practice working with our medical scheme and other healthcare sector clients in Johannesburg, South Africa.Company OverviewNMG Consulting is a leading multinational insurance, reinsurance and investments consultancy, integrating consulting, insights and analytics. Our consultants provide strategy consulting, insights, analytics and actuarial services to financial institutions including banks, insurers, reinsurers and fund managers.We are constantly evolving and the range of work that we do challenges and expands our peoples' knowledge at lightning speed. Our flat, team-based structures encourage participation from all experience levels – everyone is encouraged to contribute, regardless of their role. We advocate hearing different points of view, collaboration and constructive debate.The Data & Analytics practice in South Africa is one of the largest healthcare consulting businesses in the country and is a long-established player in the healthcare industry with more than 25 years' experience. The practice experience spans a wide range of both open and restricted medical schemes, corporates (PRMA valuations and wellness projects), various funding trusts and healthcare bodies with diverse needs and service delivery models.Summary StatementThis is a unique opportunity for a motivated individual to develop their technical skills, learn from more experienced technicians and accelerate the advancement of their actuarial, analytical and data science capabilities. The successful candidate will be based in Johannesburg and will be expected to provide support across a broad spectrum of healthcare analytics projects. In the role, the successful candidate will be expected to work as part of a small consulting team across a variety of projects, providing support to and learning from the consultants while also working independently on some analyses and deliverables. Candidates can continue with their post graduate actuarial qualification through NMG's actuarial study assistance policy.Role Actuarial Analyst / Senior Analyst, Data & Analytics Managing and executing a variety of tasks to a very high standard to support healthcare analytics projects for different sets of clients in the South African healthcare industryExtracting, manipulating and reconciling data from multiple sources and reports; Updating, maintaining and enhancing models, dashboards and reportsAnalysing data to identify key issues, develop and recommend solutions, and drive data-based decision-makingBuilding subject matter expertise over time including your knowledge of medical scheme products and other healthcare financing structures, and your knowledge of and ability to use various analytical tools and techniques to advise on these products and structuresLiving the NMG values of Curiosity, Collaboration, Go for It and Make it Count in all interactions with the consulting team, clients and the broader NMG businessCompetencies, Qualifications & ExperienceA recent tertiary qualification in actuarial science (preferred) or a statistics, mathematics or data science-related degree with a strong academic recordUp to 3 years' experience in the South African healthcare or insurance market (note: recent graduates and those graduating at the end of 2024 without work experience will also be considered for the Analyst role)Strong analytical and problem solving capabilities, including being able to apply learned skills to new and unique analysesAbility to engage and collaborate in a team to achieve individual and team goals; A high level of enthusiasm for the industry, a positive attitude, energetic approach, curiosity and willingness to learnSelf-managing with the ability to work independently, remain flexible and prioritise competing demands and organise workflow clearlyCommunication and interpersonal skills including being able to convey and explain information, coherently and confidently, both verbally and in writingProficient in Microsoft Word, Excel and PowerPoint; Knowledge of analysis and statistical software such as SQL, R/ R-Shiny, SAS, Python is desirable
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