Quantitative Analyst: Analytical Systems at Nedbank

Job Purpose
Group Risk Analytics is the cornerstone of analytical excellence in Group Risk with a strong focus on a wide array of analytics ranging from Credit, Conduct, Financial and Operational Risk analytics. 
Our passion is finding meaning in data and using analytical insights to influence decision making. As a member of Group Risk Analytics, you will collaborate with other analytics teams to find analytical solutions to high-value business problems. 

• The purpose of this role is 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 optimize business-as-usual processes by identifying and implementing effective ways of working that will have real-world implications for Nedbank.
• Contribute to the development of differentiated, superior solutions (solution engineering) that meet stakeholder & business requirements through analysis.
• Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
• Employ quantitative techniques and analytical methods to assess the drivers of various risk measures in the IFRS 9 impairments context.
• Coordinate model optimisation exercises on the SAS IFRS 9 solution and confirm solution readiness prior to implementation.
• Explore innovative modelling and implementation techniques to ensure model sustainability, reusability and auditability.
• 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.
• Ensure continuity and knowledge base through documenting and recording processes and models.
• Provide insights enabling growth through analytical research, systems and marketing insights by delivering analytical results and making recommendations to stakeholders. 
• Ensure compliance to policy through data analysis and monitoring.
• Create efficiencies and streamline processes through analysis.
• Establish understanding of processes by bridging the gap between operational and analytical concepts through communication.

Minimum Experience Level

• 2 - 3 Years work experience
• Essential Qualifications - NQF Level
• Advanced Diplomas/National 1st Degrees
• Preferred Qualification
• Undergraduate degree in Statistics/Mathematics
• Post graduate degree in Statistics/Mathematics, CFA/ FRM/ CQF (preferred)
• Technical / Professional Knowledge
• Business Acumen
• Industry trends
• Microsoft Office
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Risk management process and frameworks
• Business writing skills
• Microsoft Excel
• Quantitative Skills

Professional/Technical Competencies

• Credit (e.g. risk, strategy, origination, pricing) knowledge
• Analytical/quantitative skills
• Communication and reporting skills (verbal and written)
• Intermediate programming skills (e.g. VBA, MATLAB, SAS, R), advanced SAS and SQL skills preferred / SAS accreditation.
• Excellent writing and presentation skills