Discovery Limited Fraud Quantitative Analyst Jobs in South Africa
Discovery Limited Fraud Quantitative Analyst Jobs in South Africa
Job PurposeThe 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
How to Apply
For more information and job application details, see; Discovery Limited Fraud Quantitative Analyst Jobs in South Africa
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