Quantitative Analyst

• Build and formally present various risk models, including but not limited to forecasting and stress testing models using various quantitative modelling techniques, including statistical inference and machine learning.
• Ensure continuity and knowledge base through documenting and recording processes and models.
• Monitoring of business risk performance within the set risk appetite through analysis.
• Manage client expectations by liaising with stakeholders through the model build process as well as the systems and strategy development process.
• Increase efficiencies through programming and automating processes.
• Enhance business efficiencies and ensure compliance through formal communications and interacting with external bodies.
• Challenge model builds from around the cluster through peer review participation and ensuring best practice.
• Take corrective action where risk is identified in any processes; models or reporting; through analysis and formal communication.
• Assist the business to address queries by extracting and analysing data. Perform ad-hoc analysis and complete data requests through monitoring of data as per client specification.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
• Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction
• Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).

• 1-2 years relevant experience in an analytical environment

• Analysing and interpreting quantitative and qualitative data
• Statistical inference and machine learning model development and validation
• Developing ways to minimize risks
• Influencing stakeholders to obtain buy-in for concepts and ideas
• Sharing information in different ways to increase stakeholders understanding
• Working with a group to identify alternative solutions to a problem
• Interacting with diverse people
• Building and maintaining effective relationships with internal and external stakeholders
• Managing multiple projects

Preference Recruiting Team at +27 860 555 566will be given to candidates from the underrepresented groups

Please contact the Nedbank.