Quantitative Analyst

**About the job** Quantitative Analyst H/F **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 +120,00 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 expertises: - Asset management - Energy transition services - Energy supply & global commodities Risk management & market accessAt GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. **Context**: 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. The quantitative analyst would be part of the “Gas & Oil” quant team (approx. 10 people) but fully dedicated to Gas Supply & Trading (GST) Business Platform (BP). Within this BP, the midstream and upstream gas trading desks are risk managing complex assets in the financial markets, on behalf of internal and external clients. **Role**: The Quantitative Analyst will be focused on the activities of Gas Supply and Trading desks. The Quantitative Analyst is responsible for developing and maintaining the models that guide our financial and physical trading, portfolio management and risk assessment activities. The team will rely on him/her to be a real value added to the team, as a support on diverse modelling challenges. He/she will contribute to the whole valuation and risk management chain of a derivatives portfolio. The Quantitative Analyst, will be responsible for the following: - Generate end to end model development and design from data preparation to the build & implementation, validation and calibration of derivatives pricing models - Theoretical development of appropriate pricing formulas of each derivative traded - Conceptual soundness of the modelling framework - Consistency with market practice - Proofs and mathematical evidence of formulas - Documentation of the methodology - Implementation of the pricing and risk management engines into an official pricing library - Insure the performance of the algorithms used - Insure the quality of the code produced - Test every new functionality - Respect coding conventions and best practices - Analysis of the portfolios, perform stress tests and relevant risk analysis - He/She will be in direct contact with Traders, understand their business needs, provide them with quantitative support in their day-to-day activities, define model needs, translate them into development features - He/She will collaborate with other Quants, to exchange about models, new ideas, in order to leverage on the knowledge from peers **Hard skills**: - Strong mathematical skills, expert in Quantitative Finance - Good understanding of the trading and portfolio management business Proficient object-oriented programming skills (C#, Python) in order to develop autonomously prototypes & models**Soft skills**: - Practical and conceptual thinking - Ability to explain complex issues - Ability to deliver concrete solutions - 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 advanced model developments - Some experience in Commodity Markets would be appreciated **Languages**: - Fluent in English - Programming language (C#, Python,), Visual Studio, GIT **Business Unit**:GEMS **Division**:GEMS - EC QUANTITATIVE RESEARCH & MODELING **Legal Entity**:ENGIE Global Markets S.A.S. **Professional Experience**:Skilled ( >3 experience