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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...
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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 Enterprise Risk Management team to, develop enterprise risk management models to predict fraud, security and operational risk.
Areas of responsibility may include but 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. Troubleshoot and resolve production issues in a timely manner.
- Handle ad-hoc requests that support enterprise risk management.
Conduct detailed analytical work with a high level of accuracy in order to deliver high level results to senior management.
- Develop ongoing improvements to the model reporting.
- Responsible for managing issues through to resolution.
- Define and specify key data requirements to support modelling approaches.
- Document model “technical manual”, modelling choices made, and model methodology considerations.
Working with the leaders of the Risk Modelling team to ensure:
- Models are effectively embedded into operational activities
- The program of work for the department is documented and resourcing or delivery issues are well managed.
- Identifying inefficiencies and proposing operational process improvements to enable better outcomes.
Add value to deliverables with excellent problem solving, idea generation and strategic thinking. 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
- Organised and process oriented; ability to multi-task and manage time effectively
- 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
- Master’s degree in Quantitative Finance or closely related (quantitative major) degree.
- Alternatively, Bachelor’s degree in Quantitative Finance or closely related (quantitative major) degree and
- Programming capabilities in SAS / R / Python / VBA
- 5 years of Quantitative research experience in the financial industry.
- 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
- Retail banking experience
- Strong track record of professional performance
- Skilled in Microsoft products, particularly PowerPoint, Word, Excel and Access