£33000.00 - £55000.00 per annum
about 2 years ago
Morson International Finance Recruitment Division. We are currently assisting our client with the recruitment to the position of Forecasting Analyst/ Junior Forecasting Analyst(Energy Sector). Based at our clients offices in Central London.
Reports to: Head of Forecasting and Supplier Levy Lead
The Forecasting Analysts report to the Head of Forecasting and Supplier Levy Lead, with some technical input provided by the Senior Modeller. The main purpose of the role is to provide forecasts of future CFD costs and the risks around those costs. The main purpose of these forecasts is to set the Interim Levy Rate and Total Reserve Amount as required by Regulation, though there are other secondary purposes to the forecasting activities.
Performing operational forecasting, including maintaining the model inputs.
Updating the transparency tool microsite which explains the forecasts to suppliers and interested parties.
Communicating to suppliers through a variety of fora.
Testing software updates to the team's models.
Ad hoc modelling and analysis as required.
Assisting with reporting KPIs and other performance metrics.
Investigating and reporting on variances between forecast and out-turns.
Assisting with the Governance Board processes.
Skills and Experience
A good first degree or higher degree in a numerate subject is essential
Strong familiarity with Excel is essential, ideally with in-depth knowledge of VBA for Excel
Experience in modelling, forecasting or analysis in the electricity industry (ideally midstream, transmission or generation, or alternatively a midstream facing function in a retail business) is highly desirable
Understanding of the electricity market in general and Electricity Market Reform is desirable
Strong attention to detail and a passion for quality
The ability to convey complex technical concepts to those with little or no modelling background in a meaningful, relevant and engaging matter
Good team worker
Able to seize initiative and be pro-active in improving the model