Quantitative Analyst

Quantitative analystAbout ENGIE and Supply & Energy Management:ENGIE, a global leader in low-carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimizes the Group's and clients' production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers.The Global Business Unit Supply & Energy Management leverages ENGIE's assets to deliver secure and sustainable energy to its B2B and B2C customers. It uses its expertise in energy management to provide decarbonized electricity 24/7.Joining Supply & Energy Management means becoming part of a team of over 10,000 passionate experts spread across 20 countries, all united by a shared mission: shaping a greener and more efficient energy future. Together, we push the boundaries of innovation to deliver decarbonized energy 24/7. Join us and be part of those shaping the energy of tomorrowContext:The Expertise Center (EC) Quantitative Research and Modeling (QRM) within GEMS is a team of around 115 quantitative analysts. It's mission is to provide advanced quantitative expertise to all Business Platforms (BP) of S&EM and to Engie worldwide.The quantitative analyst will be part of the "Pricing" team (approximately 15 people) and will be fully dedicated to the Business Platform (BP) Gas Supply & Trading (GST). 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.This role is an opportunity to directly apply advanced modelling techniques as part of a highly quantitative team, with extensive experience on derivatives pricing, risk management and trading.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 modelsTheoretical development of appropriate pricing formulas of each derivative tradedConceptual soundness of the modelling frameworkConsistency with market practiceProofs and mathematical evidence of formulasDocumentation of the methodologyImplementation of the pricing and risk management engines into an official pricing libraryInsure the performance of the algorithms usedInsure the quality of the code producedTest every new functionalityRespect coding conventions and best practicesHe/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 featuresHard skills:Strong mathematical skills, expert in Quantitative FinanceGood understanding of the trading and portfolio management businessProficient object-oriented programming skills (C#, Python) in order to develop autonomously prototypes & modelsSoft skills:Practical and conceptual thinkingAbility to explain complex issuesAbility to deliver concrete solutionsConceptual thinking, rigor, motivation, strong commitment, autonomyWorking together, communication and adaptabilityEducation 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 developmentsSome experience in Commodity Markets would be appreciatedLanguages:Fluent in EnglishProgramming language (C#, Python, …), Visual Studio, GIT…If you meet these requirements, then you are the talent we are looking for. Do not waste timeApply by attaching your updated CV, regardless your gender.ENGIE S&EM is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals.All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you.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 (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every dayBusiness Unit: GEMSDivision: GEMS - EC QUANTITATIVE RESEARCH & MODELINGLegal Entity: ENGIE Global Markets S.A.S.Professional Experience: Skilled ( >3 experience