Quantitative Developer GEM UK BP

ENGIE ,
London, Greater London
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Job Description

Who we are: ENGIEis a global energy company, a leading provider of electricity, natural gas, and energy services. With 153,090 employees in more than 70 countries worldwide, ENGIE achieved revenue of 66.6 billion in 2016. ENGIE is committed to being a leader in the energy transition. We are looking for talented and motivated people to create the future of energy. Join a rewarding and flexible work environment that encourages innovation and creativity, and help us meet the energy challenges of today and tomorrow. Global Energy Management (GEM) is one of ENGIE's Business Units. We deliver services in supply and logistics management, asset management, risk management, market access management, while contributing to the market understanding, design and efficiency and developing market solutions to accelerate the energy transition. GEM manages one of the largest and most diversified energy portfolios in Europe, including electricity, natural gas, bulk commodities and environmental products. With 5 trading platforms and activities in more than 50 countries, GEM has an extended geographical coverage in Europe, Asia-Pacific and in the US. It employs 1,300 people around the world. Organization: Position open within the Valuation & Analysis team within the GEM UK Business Platform. This role will be part of the Expertise Center Quantitative Research & Modeling of GEM, whose mission is to ensure the optimal implementation of Pricing, forecasting and optimization models and methods in GEM. Projects will be mainly driven by GEM UK Business Platform. Role: The role of the Quantitative Developer is to combine in-depth business knowledge, strong analytical skills and appetite for coding in order to contribute to the GEM UK mission, with focus on model development related to power & gas trading activities. Main Activities: The daily responsibilities include: * Designing and implementing front office models and prototypes, such as optimisation of physical assets, pricing of power and gas origination trades, algorithmic trading of power * Liaise with key stakeholders in GEM Seek out innovative solutions * Technical support to end-users * Leading projects * Developing cross-expertise pricing / forecasting / physical optimization * Documentation of the front office models and tools Work location: Canary Wharf Travels: Rarely Education and professional background: * University degree in Mathematics, Engineering, Computer Sciences, Financial Engineering, Statistics, Physics * 2 to 5-year experience of working in the Energy Sector, UK power & gas preferred. More experienced candidates will also be considered Hard skills: * Strong mathematical and analytical skills * Good understanding of energy business and power & gas markets * Python development experience are required. Other programming languages are beneficial * Ability to explain and convey messages about complex issues Soft skills: * Analyzing, Practical thinking, Taking initiative * Conceptual thinking, working together Languages: * Fluent in English * Programming languages (Python), GIT, Microsoft office suite * Experience with data science techniques

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