Engage in administration and reporting in a timely fashion. Engage in any ad hoc responsibilities, as and
have at least 3 years retail experience in the fashion / footwear industry.
futures? We are seeking a Credit Analytics & Modelling Manager to turn data into actionable insights perform quantitative analysis for statistical and modelling data. Analysis of historical data, data cleaning selection, modelling, and performance evaluation Develop analytic solutions using outputs from models in credit provisioning and capital assessment. Development of models in multiple programming languages Develop and maintain performance of the models. Support models throughout the model lifecycle, including governance, model reviews and
for the impairment and capital models (such as PD, LGD and EAD models) and using IFRS9 standards. You
make a difference by providing input to the credit models.
Education:
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
providing analytical inputs into financial and risk models. We are primarily looking for Quantitative Analysts his quantitative skills to develop and implement models and analytical solutions for our clients. The bulk of credit and operational risk models (Basel II regulatory capital models, impairments) Development and and implementation of various quantitative models for clients in the banking and insurance industries Credit qualitative and quantitative approaches, as well as modelling, analytics, and forecasting Data mining, scrubbing
Location: Menlyn Maine, Pretoria Hybrid Work Model: Three days a week at the office Industry: Financial understanding of software development life cycle model Knowledge of both Agile and traditional project communicating those requirements and solutions in a fashion that satisfies both the client and the company
goals.
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities: