Specialist: Quantitative Analyst at Absa South Africa

Job Summary

• Do you want to be part of a go-to quant team that develops trusted model solutions for business stakeholders? Would you like to future-proof your career in a challenging and changing business environment through growing your exposure to the data and statistics field?
• Join a diverse team of dynamic model developers.  We are looking for experienced Model Development Analysts with a background as quantitative analysts developing PD, LGD and EAD models for Regulatory Capital and Impairments (IFRS9) models in a banking or consulting environment.

Please apply on the Absa Job Opportunities site for this exciting opportunity.

• We will expect you to ensure model build data are of sufficient quality.
• Develop theoretical understanding and practical application of model development methodology through model building and application experience.
• Complete statistical data analysis and produce model build documentation in an unambiguous and concise manner.
• Have the ability to integrate technical statistical experience and business knowledge.
• Ensure successful implementation of models by assisting the model implementation team through answering technical questions around the model workings.
• Ensure full governance processes for modelling are complied with from model inception and build through to validation and sign-off by completing all relevant documentation according to the Absa Model Risk Policy.
• Actively engage stakeholders (model users, validation team, monitoring team, regulators) to be fully engaged in process and delivery through email discussions, group meetings and one-on-one discussions ensuring their issues, objectives and priorities are reflected in agreed solutions.
• A successful candidate will be a South African Citizen that hold at least an honours degree in Statistics, Business Mathematics and Informatics (BMI) or Mathematical Statistics or a related field with up to 6 years’ experience in statistical model development or validation in a Business Banking or Investment Banking environment with process and people management experience preferred. Proficiency in Base SAS or SAS Enterprise Guide, SAS data steps, SAS procedures, SAS SQL, SAS Macros in order to develop statistical models.

Please submit your full CV and academic transcripts when applying.

Education

• Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)