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
Job Responsibilities:
- Manage team and team deliverables, including people and gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute
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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
for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business Business partnering Project management Bachelor's or Master's degree in a related field such as Statistics 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 complex data into simple written analysis including the use of visual representations of data outputs
Senior Data Analytics and Credit Risk Manager. R1.5million pa.
Relevant background of success in the credit risk and data analytics environment. Possess a blend of technical acumen ability to navigate complexities of credit risk management in a fast paced environment. Strong proficiency would be advantageous. Demonstrated experience in data modeling, statistical analysis and predictive modeling risk models and strategies. Ability to align data analytics initiatives with overall business strategy
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 and validating data to perform quantitative analysis for statistical and modeling data. Model creation creation and Management. Development of models in multiple programming languages. Develop and maintain user
futures? We are seeking a Credit Analytics & Modelling Manager to turn data into actionable insights with Organising Action Planning Data Collection and Analysis Verbal Communication Data Control Numerical Skills Reporting Risk Management Responsibilities: Active stakeholder engagement & development of analytic solutions the organization. Ensure that risk analytics and credit risk management, align to business strategies & and validating data to perform quantitative analysis for statistical and modelling data. Analysis of historical
Credit Analytics & Modelling Manager Are you an expert in credit risk with a passion for data analysis losses. Key Responsibilities: - Analyze and validate data for quantitative analysis and modeling. - Develop with stakeholders to develop analytic solutions and align risk management with business strategies. - credit risk modelling, including IFRS9. - Strong analytical skills and business insight. - Excellent communication and become a driving force in our credit risk management team
Senior Specialist: Data Integration & Operational Analytics
Job Type:
Senior Specialist: Data Integration & Operational Analytics is to play a key role in
monitoring of extraction processes for credit risk analytics data, ensuring efficiency, quality, and ease of
will, under the management of the Manager: Data Integration & Operational Analytics be a technical
technical lead in data analysis relating to credit risk and billing operations, ranging across the credit lifecycle
of B degree ( Maths,Statistics, Computer Science, Data Science)