Fraud Data Analyst
About Discovery
Discoverys core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.
About Discovery Insure
Discovery Insure is committed to creating a nation of great drivers. Our commitment is backed up by our innovation and a driving program that really works.
At Discovery Insure, we offer comprehensive car and home insurance with no excess on theft, hail, hijacking and malicious damage. With our driver behavior program, Vitalitydrive, clients get great rewards and benefits for driving well.
Discovery Insure is an environment of individuals who are committed to dazzling clients, innovation and great people.
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
- 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
- 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 in coding using Oracle PL/SQL
- Avanced excel (using formula such as VLOOKUPs, 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
The Companys approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
