Financial Modeller - Gauteng FINANCIAL MODELLER We are looking for a Financial Modeller to join the Cresco Cresco team. The type of financial modelling involved will be infrastructure-type projects that may well strategies for large companies. We are involved in modelling projects from concept stage through to actual financial modeller's main duties will be to develop and update MS Excel-based bespoke financial models on behalf candidate will have strong experience in the modelling of energy projects, particularly as part of bidding
and experienced Financial Modeller to join their team. As a Financial Modeller, you will develop transaction transaction financial models for both the private and public sector in the infrastructure and project finance Responsibilities To develop and maintain appropriate financial models meeting the requirements of investors, sponsors To review, manage and amend existing financial models; To prepare various reports and presentations, the financial models prepared or reviewed; To perform ad hoc analysis using financial models and/or various
Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Manager is is a modeling expert that applies a credit risk background in the telecommunication industry. The role statistical and modeling data. Model creation and Management. Development of models in multiple programming Telecommunications or credit risk. Experience in Credit risk modelling including IFRS9 is preferred.
Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Manager is is a modeling expert that applies a credit risk background in the telecommunication industry. The role statistical and modeling data. Model creation and Management. Development of models in multiple programming Telecommunications or credit risk. Experience in Credit risk modelling including IFRS9 is preferred.
Financial Modeller - Gauteng FINANCIAL MODELLER We are looking for a Financial Modeller to join the Cresco Cresco team. The type of financial modelling involved will be infrastructure-type projects that may well strategies for large companies. We are involved in modelling projects from concept stage through to actual financial modeller's main duties will be to develop and update MS Excel-based bespoke financial models on behalf candidate will have strong experience in the modelling of energy projects, particularly as part of bidding
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looking for an Assistant Manager – Credit Risk Modelling to join their FRM team in Johannesburg In this support the development and validation of credit risk models for provisioning and capital adequacy. You would statistical techniques and practices in credit risk modelling. Able to read, interpret and create software code modern computing languages related to credit risk modelling (e.g. SAS, Python, or R) Strong organisational
objectives. With a specific emphasis on assessing model risk across multiple domains such as credit risk Management
manage and monitor advanced and relevant predictive models, to provide advanced analytical support to business reports. Key Outcomes Model Development • Development of new predictive models in line with business predictive models. • Engagement with key stakeholders around business requirements for models Model Management updates of existing predictive models. • Prepare analysis/commentary for model management meetings. • Reporting Reporting to 3rd party funders on model management. • Ensure the model management process is conducted according
will be responsible for driving the best practice Model Risk Management (MRM) across the Group in order Participate in expert groups and model technical forums to challenge model builds and enhance solutions Identify processes, models, and systems Contribute to model rationalization initiatives Assist with Model Risk ICAAP reporting Assess aggregate model risk in the Group Maintain and enhance the Group Model Risk Management Framework Framework and Level 1 Model Risk policy Manage a group-wide model inventory Contribute to model risk scoring,