feasibility studies, working closely with financial modeler support and assessing outputs; ensuring deliverables complex multi-faceted transactions - Financial model interpretation - Execute on Project Finance processes Co-ordinate feasibility studies (manage allocated modeler; ensure deliverables are met; manage sub-contractors) Ability to present findings to a client - Manage modeler / junior support and assess / review outputs Career Advisory Project Finance Consulting Financial Modelling
Functions:
Create 3D Models of CYLINDERS
Create 3D Models and GA Drawing of
communicating business-process-related knowledge through modelling; simulating and analyzing current and future states; experience in applying formal business process modelling or business analysis methodologies A deep understanding organization is essential Experience in applying process modelling standards such as BPMN and ECP Knowledge of and of design specifications Understanding of data modelling and the ability to perform basic SQL database
influencing Ability to identify the most relevant modelling approach based on the type of problem and available including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) performance approaches in the of the training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
influencing
communicating business-process-related knowledge through modelling; simulating and analyzing current and future states; experience in applying formal business process modelling or business analysis methodologies
Knowledge specifications
including requirement definition, data analysis, data modelling.
Duties:
1. Requirement’s needs/requirements to subject area model and to logical enterprise model
4. Development Phase:
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
project. This team offers a flexible hybrid working model, great working environment and proactive team culture related to procedures, process flows and operating models