📈 Who We Are:

We are rebuilding the energy transaction, making it transparent and fair.

Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity.

tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators.

We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale.

In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership.

We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide.

Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems.

At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception.

🚀 The Role

We’re hiring a Finance Analyst into our Finance team.

This is a high-visibility role working directly with our VP of Financial Performance, Head of FP&A and Global Controller. You’ll carry out complex, high-impact analysis: identifying the drivers of performance, explaining forecast variances, and helping design better risk management and reporting tools.

You’ll also be Finance’s counterpart to the data team. You won’t be a data engineer, and you won’t be responsible for building data pipelines or owning the warehouse - but you will need a working knowledge of SQL. You’ll use it continuously to answer Finance’s questions, make reporting trustworthy, and make sure the dashboards and definitions we rely on are accurate.

In your first 12 months, you might:

• Analyse performance and forecast variances to identify the main causes and help improve forecasting.

• Build analysis that shows the levers available to the business to improve outcomes.

• Own the data inputs that feed regular financial performance reporting, whether through dashboards, presentations or ad hoc analysis.

• Take the lead on verifying that the dashboards Finance relies on are correct.

• Align data definitions with finance reports and get to the bottom of open questions like P442 revenue.

• Run ad hoc analysis for the CFO, Head of FP&A, Financial Controller and wider Finance team.

• Deploy single-purpose agents to make repeatable analysis faster and more accurate.

🎯 Responsibilities

Analysis

• Carry out complex, high-impact analysis to identify drivers of performance, explain forecast variances and surface levers the business can use to improve outcomes - applying strong financial and commercial judgement to separate signal from noise.

• Run ad-hoc analysis for the CFO, Head of FP&A, Financial Controller and wider Finance team, turning findings into clear, decision-ready outputs that frame the financial trade-offs and investment cases behind each recommendation.

• Work hands-on in Excel, SQL and single-purpose agents to make repeatable analysis faster, more accurate and easier to maintain, freeing up time for the higher-judgement work of interpreting forecast drivers and business performance.

Dashboards and reporting

• Take the lead on finance dashboards: understand the data underneath, test the logic, and verify that outputs are correct before they are used in reporting.

• Own the data inputs that feed regular financial performance reporting, whether through dashboards, presentations or ad hoc analysis.

• Support timely delivery of strategic finance performance updates each cycle, improving the reliability and consistency of the underlying data over time.

Finance-data interface

• Act as Finance’s day-to-day counterpart to the data team, translating ambiguous finance questions into clear data definitions, reference sources and analysis plans.

• Own the alignment between finance reporting and the underlying data, starting with resolving open questions such as P442 revenue.

• Reframe data outputs so they are usable by Finance leaders and trusted by non-technical stakeholders.

✅ Requirements

Must-Haves

• 2-3 years in investment banking, a modelling or data-analysis team at a Big Four firm, or a top-tier consultancy.

• You genuinely love digging into data - strong Excel and working SQL.

• Sharp analytical instincts - we’ll take a greener person who’s brilliant over years of tenure.

• You can turn an ambiguous finance question into a structured, correct analysis.

• A clear communicator whose work is immediately usable by non-technical stakeholders.

Desirable

• Exposure to energy, fintech, or trading businesses.

• Experience with BI or dashboard tools.

• Experience working directly alongside a data team.

🎁 Benefits & Perks

• Stock options so everyone has ownership in our mission.

• 25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off.

• Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons.

• Up to GBP1,200 or EUR1,200 per year for your remote setup.

• Up to GBP150 or EUR150 per month for wellbeing.

🤝 Interview Process

• First call with our Talent Team.

• Behaviour Interview with the Hiring Manager.

• Technical Interview with the Team (90 mins). You’ll meet with potential peers in this session and will discuss a practical analysis exercise - digging into a dataset and framing what it means for finance.

• Culture-Add Interview with Stakeholders.

We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.