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

INTERNATIONAL POWER LTD.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer (Data Science)

Head of Data Science - Advanced Analytics & AI

Head of DevOps and DataOps

Head of Data Science

Head of Data Science

Head of Analytics & Data Science

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

  1. 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.
  2. Market Analysis: Drive UK assumptions for Group Scenario modelling. Develop and maintain market models to support asset investment and M&A activity.
  3. Quantitative Research and Modelling: Support traders and originators with innovative quantitative analysis. Design and build robust quantitative tools and deliver major strategic projects.
  4. Structuration: Implement structured products in the UK.

Interaction Scope

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

Experience, Motivations, and Skills

  1. Demonstrated leadership capability
  2. Passion for the Energy Transition
  3. Understanding of commodity market fundamentals, preferably power
  4. Digital mindset with an understanding of agile ways of working
  5. Excellent written and spoken English
  6. Strong communication skills, with the ability to engage clients and colleagues
  7. Collaborative and analytical approach to problem-solving
  8. Confidence in decision-making

Nice to Have

  1. Experience in power & gas markets in the UK
  2. Understanding of Data Science methodologies
  3. Advanced understanding of risk management systems
  4. Familiarity with modern coding languages such as Python, R, or Julia
  5. University degree in a quantitative area (e.g., IT, engineering, mathematics, economics)
  6. 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)

Education Level: Other

#J-18808-Ljbffr

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.