Originator - Carbon and BESS

Timely Recruit Ltd
Glasgow
1 year ago
Applications closed

Role:Originator - Carbon and BESS

Location:Remote ( Based in the UK )

Salary:£50 000- £65 000 + benefits + Travel expense coverage



On top of an attractive compensation package, our client is offering:

• Competitive salary with up to 50% performance-based bonus

• 31+ paid days off annually, increasing over time

• Generous pension contributions

• Market-leading medical cover with BUPA or a medical allowance option

• Self-development funding

• Supportive and inclusive work environment

• Paid maternity and paternity leave

• Flexible and hybrid working model


We are looking for a driven Carbon focused Originator to source, evaluate, and originate new carbon and BESS optimisation deals.


Our client is extremely focused on growth and offers a lot of potential for career advancement within the team.


In this role, you will be responsible for:


  • Identifying and cultivating new business opportunities through relationship-building with potential clients, partners, and key stakeholders.
  • Establishing a profit center focused on carbon and emissions trading, encompassing trading activities, risk management, and commercial strategy.
  • Assessing and securing new BESS and SaaS deals, ensuring compliance with company standards and risk guidelines.
  • Creating and delivering comprehensive proposals and reports to senior management.
  • Overseeing the tender process for front-of-the-meter assets, ensuring prompt and high-quality submissions.
  • Negotiating terms and conditions with clients to secure agreements.
  • Collaborating with internal teams, such as data science, legal, compliance, trading, and operations, to ensure smooth transaction processing.
  • Keeping and maintaining a strong pipeline of potential deals.
  • Participating in industry events, conferences, and networking opportunities to represent the company and grow business connections.


Job Requirements:


Experience:in

  • origination OR
  • Trading
  • Project Originator
  • Project Developer


Industry:( Client is flexible to consider) people who work in these areas:

Energy, Carbon, Renewable, Gas, Power, BESS, Solar, Demand Side Response (DSR)


Education:Bachelor's degree in Finance, Business, Economics, or a related field.

Skills:Exceptional negotiation, communication, Consultative

Relationship Building:Demonstrated success in developing and maintaining

professional relationships with clients and industry contacts.

Attributes:High self-motivation, integrity, and meticulous attention to detail.

Teamwork:Ability to work both independently and collaboratively within a team

environment.

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.

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.

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.

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.