About US (GEM)

Global Energy Management (GEM) is one of ENGIE’s Business Units. As a global energy player in electricity, natural gas and energy services, we provide energy management solutions and services to our worldwide-based clients through an expertise built on more than 20 years managing the world’s largest and most diverse portfolios including power, gas, environmental and certificate products. 

With 8 main spots and 1,400 employees, we cover the full energy mix, serving an 800-strong client base across the value chain

Global Energy Management has created an inclusive and flexible work environment where you will find dedicated and enthusiastic people passionate about the transition towards carbon-neutrality.

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

At GEM, we value Collaboration & Care, Learning & Growth, Client Culture, Accountability & Trust, Leadership & Congruity.

If you share our values and want to take ACTion to energize a sustainable world, then we want to hear from you ! 

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

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

YOUR contribution

Key missions

The role of the Quant 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.

• Direct support of Origination and structuring activities:
  
  • Renewable PPAs:
    
    • Pricing of exotic contract structures and assessment of the risks for the relevant factors.  Development of EVA templates for decision support.
    • Modelling of long-term scenarios in coordination with market analysts.
  • Pricing of exotic options for power, battery assets or gas storage.
  • Novel methods for valuing new structures in GEM UK for example exclusivity agreements
• Support to the short-term trading activities:
  
  • Development of prediction models, using advanced statistical modelling techniques.
  • Development of web apps with interactive data visualisation.
  • Support for trading optimisation of wind PPA and pumped storage as required.
  • Back testing trading and modelling performance.
• Transversal coordination with other teams in GEM.
  
  • Point of contact with EC QRM.
    
    • Translate methodologies applied in other countries to the UK and share experience in UK to benefit other teams.
    • Sourcing expertise across the quantitative team for ad-hoc requirements in the UK.
    • Identify areas for improvement in the quantitative area and report past and future activities.
  • Familiarity with data management across GEM.
    
    • Identify new sources of data relevant for market intelligence. Coordination with Data teams to ensure its applicability to business activities and incorporation in appropriate data repositories

About YOU

Hard skills

• Good understanding of power & gas markets in UK and globally
• Application of scientific methods to solve complex problems.
• Software development skills:
  
  • Strong data analysis capabilities. Familiarity with data APIs and SQL databases.
  • Use agile principles for delivering tools to internal clients.
  • Use a version control system (GitHub) and pursue collaborative work across teams.
  • Excellent coding practices, such as testing and documentation.
• Capable of statistical modelling and its application in a programming language such as python (for example regression models, linear optimization, GARCH…)
• Experience with optimisation modelling and its application in a programming language such as python/GAMS.
• Demonstrated experience of Financial modelling theory for options including Monte Carlo diffusion model
• Ability to explain and convey messages about complex issues in a manner which is appropriate to the audience:
  
  • Mathematical formulation for quantitative audience.
  • Examples and case studies for Front Officers etc

Soft skills

• Ability to coach and less experienced team members
• Ability to clearly articulate the problem
• Strong sense of prioritisation
• Analytical, practical and takes initiative
• Conceptual thinking, working collaboratively and alone as appropriate

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.