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.
• Run ad hoc analysis for the CFO, Head of FP&A, Financial Controller and wider Finance team, turning findings into clear, decision-ready outputs.
• Work hands-on in Excel, SQL and single-purpose agents to make repeatable analysis faster, more accurate and easier to maintain.

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

• Competitive salary - our current band for this role is up to £84,000 or equivalent in local currency.
• 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.