Quantitative Analyst: Fraud 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