Innovative and ground breaking Energy business is now seeking a of Head of Optimisation & Analytics to lead a team of highly analytically and commercial people. The team is responsible for developing the future analytical capabilities like Commercial Optimisation and data solutions. The role requires a strong technical expertise in the field of operations research / mathematical optimisation and previous exposure to stochastic modelling.
You should be experienced in leading teams of quantitative analysts ideally in a commercial environment like energy trading. The person works at a senior level and manages relationships across all the key commercial teams in the business. This role would suit someone looking for a change from banking or an energy utility environment to work on a unique challenge.
Key elements of the role include developing the Commercial Optimisation Models which are a key element of the business These determine short term and the stochastic long term model for customers. You will develop Data Solutions with customers to capture requirements regarding data solutions such as forecasting and predictions and create insights from their Asset's data. You will use Machine Learning methods to develop data solutions. You will be leading a team of highly skilled Operational Researchers, Data Scientists and Data Engineers.
You should ideally have experience from Commodities Structuring or Operations Research area with 7 years' plus experience to include:
Excellent academic background in a quantitative discipline such as Operational Research, Maths, Physics, Computer Science, Engineering, ideally to Phd or MSc level
Extensive experience in solving quantitative business problems by machine learning, heuristics and optimisation techniques (e.g. LP, MILP)
Excellent data management and database knowledge (SQL and / or NoSQL)
Hands-on experience in developing and testing stochastic models
Good programming skills in OO language (e.g. Python, C++)
Experience in Agile (preferably SCRUM) product ownership
Proven track record of excellent stakeholder management and engagement skills
A thorough understanding of the energy market is preferential
Previous leadership experience of quantitative teams
Internal Number: 5272114
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