Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to make this vision a reality. Fuelled by our passion for enhancing lives and our desire to innovate, Discovery consistently sets global standards, creating shared value through shared intellectual capital. A testament to this is our Vitality programme, which is both a platform to incentivise people to live healthier lives as well as a channel through which shared value is delivered. We are a proudly South African-born, global company with health, life and short term insurance operations in South Africa and the United Kingdom, and a presence in Germany, France, the United States, Canada, Australia, Singapore, Hong Kong, Philippines, Thailand, Malaysia, China and Japan through our Global Vitality Network. One way in which we uphold our promise of shared value is by being a positive disruptor that focusses on bringing about sustainable change in the lives of the people and communities we serve across the globe. Our values of leadership, honesty, innovation and fairness act as our compass, directing our business practices to take advantage of every opportunity while looking for ways to dazzle clients.
Key Purpose
- The key purpose of this role is to be able to extract and analyse data according to requirements set out by business. The main focus of the unit is to identify and detect potential fraud within the Discovery Insure business. The successful candidate will need to be able to mine large data sets to find and present new insights to business.
Areas of responsibility may include but not limited to
- Extracting data using Oracle PL/SQL
- Trend analysis
- Analysing data to identify outliers
- Producing accurate reports, dashboards and models
- Putting together PowerPoint presentations to present findings from analysis
- Managing relationships with risk management and forensics
- Exploring new methods of improving the Fraud analytics process
Personal Attributes and Skills
- Self-starter
- Ability to work under pressure and at fast pace
- A restless curiosity towards data and uncovering unknown fraudulent patterns
- Ability to work cohesively in a team environment and balance multiple priorities
- A team player who can work alone when required and without supervision
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude
- Ethical and able to maintain confidentiality and manage boundaries
- Aligned to Discovery values and core purpose
Education
- Matric
- Undergraduate 3-year degree in either Actuarial, Data Science, statistics, applied mathematics with some experience in the short term industry
- Other analytical qualifications will also be considered if accompanied by the relevant experience
Experience
- Experience in coding using Oracle PL/SQL
- Avanced excel (using formula such as VLOOKUP’s, pivot tables, cubes, VBA)
- Strong analytical skills
- Ability to work with, analyse and communicate findings from data (verbal and written)
- Experience using PowerBI or SASVA
- Exposure to statistical modelling would be beneficial
Method of Application
Signup to view application details.
Signup Now
