Current Openings at Discovery Limited

Job Purpose

• The Enterprise Risk Management team is responsible for the development, oversight and embedding fraud, security and operational risk controls for the bank. The Quantitative Analyst plays an important role within the team to develop enterprise risk management models to predict fraud, security and operational risk.  

Areas of responsibility may include but are not limited to

• Build, validate, document, implement, monitor and rebuild Enterprise risk models (fraud, security, operational risk models, customer behaviour modelling)
• Design and develop robust processes around periodic reporting tasks with focus on automation.
• Implement new risk models and maintain models currently deployed in production.
• Contribute to the development of an effective and efficient risk-reporting infrastructure by gathering and analysing data from various business units, writing reports, and providing recommendations.
• Execute the daily production process as well as troubleshoot and resolve production issues in a timely manner.
• Conduct detailed analytical work with a high level of accuracy in order to deliver results to senior management.
• Working with the leaders of the Risk Modelling team to ensure models are effectively embedded into operational activities. 
• Work closely with the wider Risk Team, Finance, Product Development and System Architects to optimize the best solution for the bank and group.

Personal Attributes and Skills

• Demonstrated technical skills, including ability to write code. Experience designing and setting up production-grade systems will be considered a strong plus.
• Resourceful and tenacious
• Self-motivated
• Focused on driving results
• Detail-oriented
• Ability to convey complex data in a concise understandable manner and distil the key messages
• Strong problem-solving skills
• Ability to work effectively across varying levels of Management and multi-disciplinary teams
• Good and clear written style.
• Strong verbal and written reporting skills.
• Quantitative/qualitative analytical skills

Education and Experience

• Bachelor’s degree in Quantitative Finance or closely related (quantitative major) degree.
• Minimum 3 years of Quantitative research experience in the financial industry.
• Retail banking experience is preferred
• Programming capabilities in SAS / R / Python / VBA
• Solid understanding of basic algorithms and data structures.
• Basic knowledge of SQL query language is required. Experience with database design is preferred.
• Basic understanding of fraud risk, security risk and operational risk

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Job Purpose

• The Fraud Detection Consultant identifies potential fraudulent activity on client accounts in near real time through the management of fraud system alerts. The incumbent verifies the transaction legitimacy by performing an internal fraud risk assessment which includes making written or telephonic contact with the client. In addition to transaction verification, another key objective is to enhance the end clients’ transactional experience by identifying any friction incurred in the process and proactively making client contact to resolve. The successful candidate will also be required to identify new fraud trends and pass that insight onto the fraud analysts for a detailed assessment and for relevant prevention mechanisms to be put in place to reduce impact of fraud trend.

Areas of responsibility may include but are not limited to

• Actions alerts with speed and urgency.
• Accurately conducts fraud risk assessment ensuring fraud vs. legitimate spend is identified.
• Providing awareness to clients around fraud risk trends and how to better protect themselves.
• Identifies new risks and trends through alert management and proactive client contact.

Skills

Required:

• Interpretation of data leading to decision making insight.
• SAS analytics.
• SQL analytics.
• Knowledge within banking industry, financial crime.
• Understanding of Visa and or financial transaction processing within banking sector.
• Risk Management theoretical knowledge

Preferred:

• Syntax language to configure rules.

Qualifications

• Required: Degree or diploma in risk management, fraud or financial crime would be advantageous.

Experience

Required:

• At least 1-2 years’ experience within a client servicing/interaction role
• At least 1-2 years’ experience in a problem solving role or environment which required critical and logical thinking
• At least 1-2 years’ experience working with high volume, SLA driven tasks

Preferred:

• Experience in risk management within a financial or banking environment
• Experience in a financial crime role.

Special Conditions

• Shift work 24/7
• Overtime may be required

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Key Purpose

• Lead a highly specialized actuarial team providing product, market, and strategic insights to increase new business for Discovery Insure.  This involves the development and dissemination of effective sales strategies, compelling product positioning and tools for advisors & clients.

Areas of responsibility may include but not limited to

• Provide customised support for specific sales opportunities and new business initiatives
• Package and drive the roll-out of new products and benefits through the annual launch cycle
• Develop and present roadshow, PPD and training material
• Provide technical product support to distribution and servicing channels
• Develop compelling analytical content and product toolkits to demonstrate how the Discovery Insure value propositions deliver exceptional value to clients, advisors and other stakeholders
• Produce objective industry analysis and market insights which clearly position Discovery Insure as the authority on how the industry operates and the broader competitor landscape
• Utilise technical product knowledge, including understanding of competitors, to identify business opportunities
• Support R&D decision-making and strategy through distribution and client insights

Knowledge and Skills

• Modelling (Basic)
• Programming: VBA & SQL (Intermediate)
• Microsoft Office (Excel, PowerPoint, and Word) (Advanced)

Education and Experience

• Matric
• Actuarial Qualification – Good progress with Actuarial exams
• Qualified Actuary (Advantageous)
• Belong to the Actuarial Society of South Africa (ASSA/FASSA)
• At least 5 years business experience, with a proven record of innovation, delivery, and performance
• Collaborates mainly with the product development, MIS, pricing, distribution, and marketing divisions
• Works with advisors and broader stakeholders such as partners and media