Trading Quantitative Analyst

Requisition ID: 1854- Location: COURBEVOIE, FR, 92400**About US (GEMS)**: ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation. ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years. 3,300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization. Our +120,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike. Our 4 expertise: - Asset management - Energy transition services - Energy supply & global commodities - Risk management & market access At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. **Organization**: The Expertise Center (EC) Quantitative Research and Modeling (QRM) within GEMS is a team of 30 quantitative analysts. Its mission is to provide advanced quantitative expertise to all Business Platforms (BP) of GEMS. Within the Business Platform (BP) Gas Supply & Trading (GST), the midstream and upstream gas trading desks are risk managing complex assets in the financial markets, on behalf of internal and external clients. **YOUR contribution**: **Context** The quantitative developer would be part of the “Gas & Oil” quant team (~10 quants), but should also develop very close relation with GST gas trading desks. **Role** The Gas quantitative developer will be focused on the activities of GST trading desks. He should design and provide scalable, robust and performant quantitative tools that have a concrete impact on the business. He will also be responsible for enhancing the existing framework/pricing libraries in terms of code quality and performance. He should be customer-oriented as he will interact on a daily basis with trading and ensure their first line support. **Key missions** The daily responsibilities of the Quantitative Developer would include: - Be in direct contact with Traders, understand their business needs, provide them with high-quality quantitative support in their day to day activities, with a focus on code quality and low time to deliver. - Work closely with other Quants, to exchange about front-office model needs and translate them into development features. - Develop in the official pricing library as well as the front-office tactical one (in C#) - Develop “ad hoc” pricing tools and prototypes used by traders, leveraging on the pricing library and potentially developing customized tools. - Promote best coding practices that comply with general rules and standards. - Collaborate with other Quants and other teams within GEMS (IS, Risk Methodo) **Travels** Occasional travels (mostly Brussels) **About YOU** **Hard skills** - ** Strong object-oriented programming skills (C#, Python) in order to develop autonomously prototypes & models**: - ** Good understanding of the trading and portfolio management business**: - ** A real interest in mathematical models used in Finance**: - ** Ability to explain and convey messages about complex issues** *** **Soft skills** - ** Analyzing, Practical thinking, Entrepreneurship**: - ** Conceptual thinking, rigor, motivation, strong commitment, autonomy**: - ** Working together, communication and adaptability** *** **Education and professional background** - ** Engineering or university degree (Master or PhD) in Computer Sciences, Applied Mathematics, Statistics, Physics, Financial Engineering**: - ** At least 5 years’ experience of working in a trading environment, focusing on performant pricing and risk management tools**: - ** Some experience in Commodity Markets would be appreciated** *** **Languages** - ** Fluent in English**: - ** Programming languages (C#, Python), Visual Studio, GIT, Microsoft office suite.** *** **About ENGIE **:**Our group is a global reference in low-carbon energy and services. Our purpose (“raison d’être”) is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (ga