Climate17
Senior Technical Analyst - Power Markets

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About the Role
Our client is a London-based energy consulting firm advising investors, financial institutions, and asset owners on the value of flexibility across power, gas, and LNG markets. Operating at the intersection of energy markets, structured finance, and advanced analytics, the firm combines rigorous quantitative modelling with deep market expertise to deliver decision-grade insights across asset valuation, optimisation, and scenario analysis.
The team brings together analysts, modellers, and market specialists focused on solving complex problems in fast-evolving energy markets, including power, gas & LNG, and the wider energy transition.
We are seeking a Senior Technical Analyst to join the technical team, taking a key role in quantitative modelling, research, and analytical platform development. This is a high-impact position for someone with strong energy market knowledge, advanced modelling capability, and strong programming skills, motivated by building robust analytical frameworks that support investment and trading decisions.
You will work across modelling, research, and delivery to develop and maintain asset models, price forecasting frameworks, and data infrastructure, while improving internal tools and methodologies.
Key Responsibilities
Quantitative Modelling & Research
- Develop and enhance models for energy asset valuation, dispatch optimisation, and flexible asset revenue forecasting across power and gas/LNG markets
- Apply operations research methods (e.g. stochastic optimisation, MILP, dynamic programming) to asset modelling and trading analysis
- Build and maintain fundamental and/or statistical price forecasting and scenario analysis models
- Conduct fundamental market analysis supporting short- and long-term price views across GB, European power, and global gas & LNG markets
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Analytical Platform Development
- Develop and maintain internal modelling platforms, automation pipelines, and analytical tools
- Design and manage SQL-based data workflows and modern data infrastructure, ensuring scalability and robustness
- Apply AI tools critically to accelerate research, development, and knowledge management
- Improve analytical efficiency through new tools, methodologies, and process optimisation
Collaboration & Delivery
- Translate modelling outputs into clear, commercially relevant insights for energy investment and finance clients
- Communicate complex technical results to both technical and non-technical audiences
- Contribute to a high-quality, collaborative, and intellectually rigorous team culture
- Support macro and sector analysis, including energy market trends and sector coupling dynamics
Key Qualifications
- 3–5 years’ experience in energy markets (power and/or gas & LNG), with strong understanding of pricing and trading mechanisms
- Strong quantitative background (optimisation, OR, statistical modelling, or ML applied to energy/financial data)
- Strong Python programming skills
- Strong understanding of energy asset modelling, flexibility valuation, and optimisation principles
- Experience with fundamental price modelling and scenario analysis
- Strong SQL skills and experience with structured datasets
- Experience with data pipelines and/or ETL processes
- Effective, critical use of AI tools in technical workflows
- Strong communication skills for explaining complex analysis clearly
- Team-oriented with ability to manage multiple workstreams
- Postgraduate degree in a quantitative discipline (engineering, mathematics, physics, etc.)


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Desirable
- Experience in energy consulting, investment advisory, finance, or quantitative research
- Familiarity with cloud platforms (AWS, Azure, GCP) or modern data stacks
- Understanding of energy transaction modelling (e.g. P50/P90, merchant risk)
About Us
Climate17 is a purpose-led, international Renewable Energy & Sustainability recruitment firm. We provide specialist talent acquisition services to organisations seeking to reduce their environmental footprint, as well as those working towards the decarbonisation of the energy sector.
Inclusive Application Process
Climate17 is committed to creating a diverse, inclusive, and equitable workplace. We believe there is no solution to climate change without people. We aim to increase diversity across all areas and as such, we are committed to partnering with clients and candidates to create an inclusive and sustainable regenerative world.
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