a Credit Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Modeling Manager is a modeling expert that applies a credit risk background in the telecommunication industry quantities of data to positively affect profitability and credit losses. Credit analytics and risk. Preparing validating data to perform quantitative analysis for statistical and modeling data. Model creation and and Management. Development of models in multiple programming languages. Develop and maintain user requirements
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various with stakeholders, including business analysts, data scientists, and IT professionals, to understand requirements and translate them into robust data models.
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What you’ll do:data models to support business requirements and data analysis needs.
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for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business Power BI,SQL experience is key 3-5 years of data analytics experience, preferably in a large company Financial Analysis and deep understanding of data extraction and manipulation of data techniques Proficient in Power BI, Tableau and SQL Proficiency with building predictive models in a suitable programming language, as ML) Strong Financial Modelling experience Highly skilled at simplifying complex data into simple written
Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and drive the improvement of data modelling modelling and development of data maturity standards within Financial Surveillance Department (FNSD) to areas: Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure
Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker thinker and analytical powerhouse to lead our data analytics team in harnessing the potential of data to shape of improved data analytics through the development and management of value-added analytics, business insights gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute strategy, including the development of new AI/ML models.
- Develop, maintain, and refine monthly
utilize software for the purposes of data analysis as the next Data Analytics Trainer sought by a forward-thinking in training delivery, preferably in the field of Data Analysis, Audit, Risk, or Compliance. You must be software solutions, such as Audit Command Language Analytics and Audit Command Language GRC, and familiarity Display expert knowledge in Audit Command Language and data analysis techniques. Conduct Training Sessions: effectively utilize its features to address their data analysis objectives. Stay updated with software
Title: Senior Specialist: Data Integration & Operational Analytics
Job Type:
the Senior Specialist: Data Integration & Operational Analytics is to play a key role
monitoring of extraction processes for credit risk analytics data, ensuring efficiency, quality, and ease of
of the Manager: Data Integration & Operational Analytics be a technical lead in data analysis relating
ranging across the credit lifecycle, translating data into valuable information to inform business decisions
Marketing Analytics Specialist , in Cape Town. Responsibilities: To analyse and interpret business data using using data mining techniques to understand customer behaviour and make recommendations for marketing and achievement of business results. Create and apply data management solutions, tools and processes that are business intelligence and insights to ensure the data adds value to the operations and that the business collection of data from data warehouse and various business systems as well as the data analyses relative