Quantitative Analyst at Nedbank

Job Purpose

• To contribute to the development and maintenance of best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk management.

Job Responsibilities

• Seek opportunities to improve business processes; models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
• Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
• Ensure product and or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
• Manage client expectations by liaising with stakeholders through the model build process as well as the systems and strategy development process
• Ensure accuracy and feasibility through impact analysis for newly developed products.
• Providing advice to key operational areas ensuring optimal resource allocation and desired results through analysis and communication
• Ensure continuity and record keeping through formal sign-off at forums and by creating documentation
• Ensuring the correct return is generated on new business.
• Assisting in the testing and implementation of credit and pricing changes
• Analysis of credit risk and policy recommendations based on data analysis/statistical methods
• Continuous ad-hoc queries and presenting such to relevant stakeholders

Essential Qualifications

• Matric / Grade 12 / national senior certification
• 3 year STEM ( Science, technology, engineering and mathematics) qualification

Technical Skills

• Business Analysis
• Statistics
• Self-driven
• Self-checking

Minimum Experience Level

• 0-2 years relevant experience in an analytical environment (preferable banking/finance)
• Experience in modelling in SQL, SAS, STATA or Machine Learning
• Experience in general predictive modelling and analytical problem solving using SAS, SQL, Excel
• Essential Skills
• SAS or other equivalent database query language (SQL, Power BI).
• Business Analysis