using sophisticated analytics and Machine Learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
established financial services provider based on the beautiful Umhlanga Ridge seeks the skills of an experienced
clients in form of solution conceptualisation, modelling, design, and implementation of client focused coordination, project management, commercial modelling, solution implementation, solution stabilisation financial decision-making through advanced analytical modelling, using large sets of data. • The secondary focus solutions using appropriate fleet and network design modelling. • Driving “cost to serve” optimisation by principals or supply chain environment • Advanced Excel modelling and analytical skills • Advanced skills in Power
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:
Responsibilities:
Business process modelling and documentation. Coordinate and quality assure process modelling by divisional business formal process modelling tool, such as Visio or Aris, and Business Process Model and Notation (BPMN)
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
presentations or text documents). Carry out financial modelling. That is to say, address a number of scenarios graphics for each of the scenarios presented. Design models for buying shares, debt restructuring and capitalisation and intangible assets, financial planning and modelling. Take part in negotiations for mergers and acquisitions principles Understand corporate finance / financial modelling Advanced Excel
documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
the development and implementation of actuarial models, and collaborating with cross-functional teams regulatory requirements. Modelling and Coding: Develop and maintain actuarial models to analyse and forecast skills to enhance efficiency and accuracy in modelling processes. IFRS17 Reporting: Assist in the implementation consistency and accuracy of data used in actuarial models and financial reporting. Identify and resolve discrepancies opportunities for automation in data processing, modelling and reporting. Requirements: Bachelor's degree