National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of V&A(Energy Portfolio Management, Analytics and Structuring

ENGIE Group
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Genomic Epidemiology - Pathogen

Data Scientist

Head of Data

Head of Data Science

Head of Data Science

Head of Artificial Intelligence

Select how often (in days) to receive an alert:

Head of V&A (Energy Portfolio Management, Analytics and Structuring)

Requisition ID: 39185

Location: London Wall, GB, EC2M 5SQ

About ENGIE UK

ENGIE is a global leader in low-carbon energy supply and services. We have been active in the UK energy market for over 20 years, focusing on energy storage and renewable energy (solar, wind, biogas), while supplying energy to organisations of all sizes.

We are reshaping the energy future by balancing economic performance with a positive impact on people and the planet. We are looking for individuals committed to turning our vision into reality.

About GEMS

GEMS (Global Energy Management and Sales) is one of ENGIE's global business units. Specialising in energy markets, GEMS ensures the competitiveness of ENGIE’s business units and develops its own franchise with external customers through services related to risk management, energy asset optimisation, and trading.

About the Role

The Energy Management UK Business Platform (EM UK) is part of GEMS, operating in the UK. EM UK provides decarbonisation, optimisation, and risk management services for internal and external clients in the UK.

As the Head of V&A, you will play a key role in leading our Energy Transition efforts and help us leverage our diversified portfolio. Your leadership will facilitate high-quality decision-making at all levels, from intraday half-hourly pricing to long-term strategic investments. By maintaining a focus on excellence and collaboration, you will drive performance and innovation across the board.

As part of the Senior Leadership Team (SLT) for EM UK, you will contribute to setting the strategic roadmap for EM UK and ENGIE in the UK, aiming to be a leading energy transition utility by 2030 and beyond. The EM UK SLT focuses on client-centric approaches, digital advancement, and fostering collaboration within the team and across ENGIE.

Main Responsibilities

  • Portfolio Management:Manage assets using the GEMS ETRM system to forecast revenues and running regimes. Provide analysis and guidance on risk management strategies and execute agreed hedges.
  • Market Analysis:Drive UK assumptions for Group Scenario modelling. Develop and maintain market models to support asset investment and M&A activity.
  • Quantitative Research and Modelling:Support traders and originators with innovative quantitative analysis. Design and build robust quantitative tools and deliver major strategic projects.
  • Structuration:Implement structured products in the UK.

Interaction Scope

  • EM UK Team:Collaborate with various teams within EM UK.
  • GEMS Expertise Centres:Engage with global Expertise Centres focusing on similar problems.
  • Internal and External Clients:Work with Global Business Units and external clients on strategic and operational bases.
  • External Bodies:Engage with NESO and represent ENGIE at industry forums.

Experience, Motivations, and Skills

  • Demonstrated leadership capability
  • Passion for the Energy Transition
  • Understanding of commodity market fundamentals, preferably power
  • Digital mindset with an understanding of agile ways of working
  • Excellent written and spoken English
  • Strong communication skills, with the ability to engage clients and colleagues
  • Collaborative and analytical approach to problem-solving

Nice to Have

  • Experience in power & gas markets in the UK
  • Understanding of Data Science methodologies
  • Advanced understanding of risk management systems
  • Familiarity with modern coding languages such as Python, R, or Julia
  • University degree in a quantitative area (e.g., IT, engineering, mathematics, economics)
  • Experience in Risk Management and/or Decarbonisation services

Why ENGIE?

At ENGIE, we are committed to fostering a diverse and inclusive workplace. We offer hybrid and flexible working arrangements, competitive benefits, and opportunities for professional growth. Join us in our mission to lead the energy transition and make a positive impact on the world.

How to Apply

To apply for this position, please upload your CV outlining your qualifications and experience. We look forward to hearing from you!

Business Unit: GEMS

Division: GEMS - BP UNITED KINGDOM

Legal Entity: INTERNATIONAL POWER LTD.

Contract Type: Permanent

Job Type: Full-Time

Professional Experience: Skilled (>3 experience <15 years)

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.