frameworks and algorithm tuning
Qualifications
Financial Analyst with Above Average Valuations and Modelling skills to Join a dynamic team within the Infrastructure ACCA, or CPA 8 Years' experience in a Financial Modelling & Valuations Mentorship skills in order to to upskill team members with financial modelling skills Advanced level of technical proficiency and computer Excel spreadsheets Responsibilities: Financial Modelling, Forecasting and Management Evaluating infrastructure
Financial Analyst with Above Average Valuations and Modelling skills to Join a dynamic team within the Infrastructure ACCA, or CPA 8 Years' experience in a Financial Modelling & Valuations Mentorship skills in order to to upskill team members with financial modelling skills Advanced level of technical proficiency and computer Excel spreadsheets Responsibilities: Financial Modelling, Forecasting and Management Evaluating infrastructure
focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
conduct resource evaluations, develop geological models, and provide technical support to the mining operations geological modeling and resource estimation. Interpret geological data and create 3D models of ore bodies proficiency in geological modeling software such as Datamine and Leapfrog Geological Modelling and Geological Estimation
conduct resource evaluations, develop geological models, and provide technical support to the mining operations geological modeling and resource estimation. Interpret geological data and create 3D models of ore bodies proficiency in geological modeling software such as Datamine and Leapfrog Geological Modelling and Geological Estimation
hydrology and hydraulic modelling principles
various economic modelling techniques (Input-Output modelling, multi-sector modelling, Cost Benefit Analyses Analyses, Socio-Economic Impact Modelling etc) Conduct relevant primary and secondary research using a econometric techniques (Input-Output modelling, multi-sector modelling, etc.) Experience in Socio-Economic
various economic modelling techniques (Input-Output modelling, multi-sector modelling, Cost Benefit Analyses Analyses, Socio-Economic Impact Modelling etc) Conduct relevant primary and secondary research using a econometric techniques (Input-Output modelling, multi-sector modelling, etc.) Experience in Socio-Economic
teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy