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Data Scientist

Posting date : 17/10/2023

Requisition ID : 15376


Data Scientist

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 access

 

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

 

More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

 

Job Description

As Trading Data Scientist, you will be responsible for:

  • Designing and implementing new business use cases, going through rotations in the business divisions.
  • Acting as Data science expert for GEM (tools, methodology)
  • Ensuring Market intelligence on Data Science topics
  • Liaising with other Engie Data Science communities and projects

The Trading Data Scientist will be based in the transversal Data team located in Paris and will report to the Chief Data Officer.

Some of the initial use cases may include optimization of trading/hedging strategies, customer flow data and management of full supply contracts

Profile

  • Strong academic background, ideally from Engineering, Mathematics, Physics or Computing
  • Experience in a commodity trading environment is a plus
  • Power and gas markets fundamentals knowledge is a plus

Technical and professional skills:

  • Excellent research and analytical skills, with the ability to synthesize analysis into concrete value creation
  • Excellent quantitative skills
  • Strong Programming skills: Python, C# is a plus
  • Data management skills
  • Team player

Soft skills and competencies:

  • Ability to work under pressure in a fast-paced environment
  • Self-motivated and result driven with a high level of initiative and creative problem solving
  • Team player
Job Requisition ID on SAP SF
15376
Organization
Language on SAP SF
en_US
Country
Job Contract
Job City
Job Posting Date
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  Back

Data Scientist

Posting date : 17/10/2023

Requisition ID : 15376


Data Scientist

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 access

 

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

 

More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

 

Job Description

As Trading Data Scientist, you will be responsible for:

  • Designing and implementing new business use cases, going through rotations in the business divisions.
  • Acting as Data science expert for GEM (tools, methodology)
  • Ensuring Market intelligence on Data Science topics
  • Liaising with other Engie Data Science communities and projects

The Trading Data Scientist will be based in the transversal Data team located in Paris and will report to the Chief Data Officer.

Some of the initial use cases may include optimization of trading/hedging strategies, customer flow data and management of full supply contracts

Profile

  • Strong academic background, ideally from Engineering, Mathematics, Physics or Computing
  • Experience in a commodity trading environment is a plus
  • Power and gas markets fundamentals knowledge is a plus

Technical and professional skills:

  • Excellent research and analytical skills, with the ability to synthesize analysis into concrete value creation
  • Excellent quantitative skills
  • Strong Programming skills: Python, C# is a plus
  • Data management skills
  • Team player

Soft skills and competencies:

  • Ability to work under pressure in a fast-paced environment
  • Self-motivated and result driven with a high level of initiative and creative problem solving
  • Team player
Job Requisition ID on SAP SF
15376
Organization
Language on SAP SF
en_US
Country
Job Contract
Job City
Job Posting Date
job_division_level_one
job_mapped_organization
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Quantitative Trader - eTrading Desk

Posting date : 04/10/2023

Requisition ID : 14340


Quantitative Trader - eTrading Desk

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. 

More info on GEM Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions). 

 

Context: 

Within the Cluster Risk Management & Supply, eTrading is Engie’s algorithmic trading desk managing a wide range of activities:   

  • Designing, optimizing and running tailor made strategies: smart execution, arbitrage, asset optimization 
  • Providing centralized market access: aggregating Engie’s flows and optimizing execution through in-house algorithms
  • Acting as a liquidity provider / market maker on exchanges

.

Role: 

  • Designing new trading strategies;
  • Developing, testing and documenting new algorithms; 
  • Running and monitoring trading algorithms;
  • Quantitative market making;
  • Interacting with brokers and exchanges;
  • Developing and maintaining tools to supervise trading decisions;
  • Enhancing existing infrastructure and algorithms;
  • Manipulating and analyzing large datasets

 

Hard Skills: 

  • Analytical skills;
  • Strong programming skills: Python, C# is a plus;
  • Data management skills.

 

Soft Skills: 

  • Team Player;
  • Pragmatic;
  • Result driven;
  • Attention to detail;
  • Stress resistance.

 

Education and professional background: 

  • Top academic background in engineering IT, mathematics, finance
  • Confirmed experience as an algo trader or algo developer  

 

Languages:

  • Fluent in English

 

Location: 

Position based in Paris for the first 6 to 12 months, with opportunities to move to Houston or Singapore or Melbourne at a second stage.

 

 

If you meet these requirements, then you are the talent we are looking for. Do not waste time! 

Apply by attaching your updated CV, regardless your gender.

 

ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provide 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, renewable energy, services) to offer competitive solutions to our customers. With our 170,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.

 

 

 

Job Requisition ID on SAP SF
14340
Organization
Language on SAP SF
en_US
Country
Job Contract
Job City
Job Posting Date
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GET Data Architect (M/F)

Posting date : 10/10/2023

Requisition ID : 7518


GET Data Architect (M/F)

Come join one of the most ambitious Transformation Program of Engie 

 

ENGIE's strategy to drive the energy transition and to industrialize the company, making it simpler, 

faster, and more integrated, is set. GET, Global Enterprise Transformation, is the Program decided by ENGIE to accelerate and standardize the ERP system as well as the effectiveness of processes, embarking the Company on a centrally steered and business-led transformation focused on making ENGIE an integrated industrial company. 

 

Therefore, GET Program is among the top 5 ENGIE priorities with genuine ExCom sponsorship. 

 

Be part of the Change and come build the Future at one of the most ambitious Transformation Program of the moment. 

 

 

With a view to harmonization, ENGIE has embarked on a major program to transform its processes and IT tools. This project, which extends over several years, concerns all the entities of the group and requires a sustained support. 

 

To implement this support, we are looking to recruit a : 

GET – Data Architect (M/F)

The head office is based in Courbevoie (La Défense), but the physical presence on the head office is not mandatory. We are also looking for international profiles.

 

The GET program aims to deliver the future business and IT core model with a central “one ERP / One ARIBA” platform. The functional context of the program covers a set of functional areas including accounting, controlling and procurement as main areas.

The GET program offers a unique opportunity to onboard on one of the most ambitious and strategic Enterprise transformation programs with a very high IT footprint with S/4 & SAP ARIBA as central IT components. Innovation is at the heart of GET Program with an ambition to implement a best in class processes & solution.

The GET Data Architect role is proposed to reinforce the internal team supporting the core model delivery and coordinating the pilots/rollouts.

This role will be N-2 to GET IT Lead and directly reporting to the core model IT lead.

 

Job Responsibilities:

  • Bring high level expertise on MDM and especially SAP MDG
  • Help the business teams in business requirement definition and ensure coherence with the SAP capabilities
  • Responsible for reviewing the integrator delivery and challenge the proposed solutions
  • Align with the business team to ensure the proposed solution is aligned with the core model and the program guidelines
  • Work with the integrator teams and SAP teams to secure design authority presentations for arbitrations
  • Secure testing phases and ensure quality of test delivery by the IT integrator
  • Drive discussions in multi-cultural / global context with multiple stakeholders

 

Position requirements

  • Very good knowledge of the SAP MDG and overall the MDM area.
  • Understanding the process of translating business requirements and processes into data collection and usage principles in MDG.
  • At least 5 years experience in similar position
  • Good references in the previous experiences with other customers
  • Fluent English (oral/written)
  • May require national & international mobility.

 

"Priority position reserved for ENGIE SA Corporate employees whose position is removed and for DTR employees".

Job Requisition ID on SAP SF
7518
Organization
Language on SAP SF
en_US
Country
Contract Type
Job Contract
Job Employee Type
Job City
Job Posting Date
job_division_level_one
job_mapped_organization