Key Purpose

• The candidate will form part of the Vitality SA actuarial team responsible for analytical analysis and modelling of the Vitality programme in order to answer key business questions, inform the business strategy, ensure the business remains financially stable and exposure to key risks are understood. A key focus of this role will be to apply actuarial and behavioural science principles to understand and analyse member journeys from initial lead generation through to ongoing engagement. This will include strategic involvement aimed at optimising each step in the journey.

Areas of responsibility may include but not limited to

The successful applicant will be responsible for but not limited to the following broad job functions:

• Develop actuarial or statistical models to aid in strategic business decision-making
• Short- and long-term behavioural and financial projections (including pricing and testing of new initiatives)
• Extracting and analysing large datasets to yield rich insights and communicating the results to a wide variety of stakeholders including the Vitality SA Executive Committee
• Identify and understand key business and data trends, assess the impact and identify possible courses of action to mitigate / capitalize on these opportunities
• Conduct ad-hoc investigations and analyses including quantifying the financial and business impact of strategic projects, oftentimes working with executive decision-makers to craft and execute key strategic projects
• Compilation of reports and presentations for the Vitality Exco, Vitality Board, Actuarial Committee, Discovery Board and Group Exco
• Develop and leverage key working relationships with various stakeholders across the business in order to support the aims of the organization
• Mentor, support and train junior analysts

Competencies

• Strong analytical skills with the ability to collect, organize, analyse, and disseminate information simply and effectively
• Strong ability to work with, analyse and communicate findings from data (top-down verbal and written communication)
• A passion for delivering results with a sense of urgency for rapid action
• Excellent time-management skills with the ability to prioritize deliverables and manage stakeholder expectations
• Well-versed in the ability to disaggregate issues and problem-solving
• Comfortable adapting and responding to change
• Strong abilities in dealing with unstructured problems and complex environments
• Excellent attention to detail
• Good writing and reporting skills
• Good people skills and situational awareness
• Ability to cope with business pressures and setbacks
• Ability to think with a commercial and growth mindset
• Good sense of materiality with the ability to put things into perspective

Education and Experience

• Matric with Higher Grade Mathematics
• Bachelor of Science degree in Actuarial Science, Statistics or Data Science, with an Honours degree being advantageous
• Academically qualified (all formal actuarial examinations completed)
• 2 – 5 years’ work related experience
• Data Science skills are an advantage
• Advanced proficiency in MS Word, MS Excel, MS PowerPoint and MS Outlook and SQL
• Advanced experience in Actuarial Modelling, Problem Solving, Data Analysis
• Strong communication skills

Behavioural

• Highly analytical and logical
• Critical thinking
• Curious and eager to know “why”
• Creativity and innovation
• An ability to communicate technical complexity to a non-technical audience
• A focus on delivering results and meeting customer expectations
• An interest in analysing large datasets
• An interest in the field of Behavioural Science
• Comfortable with change and a fast-paced work environment
• Desire to teach and grow more junior members
• Keen to pursue a career outside of a traditional actuarial environment whilst applying actuarial and statistical principles in a non-traditional way