Cedar
Head of Finance Data, Analytics & MI

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Head of Finance Data, Analytics & MI, Challenger Bank, London
c£115k + 20% bonus + 20% pension (Partnering a leading Financial Institution start-up)
We are seeking an experienced Head of Finance Data, Analytics & MI to lead its Management Information, Financial Analytics, and Performance Insight function, reporting directly to the CFO.
This is a highly visible role responsible for transforming financial and operational data into meaningful commercial insight, supporting strategic decision-making across the business.
About the Role
- The business enables work from home, requiring one central London office visit per week (travel expenses covered).
Key Responsibilities
- Lead and develop the Finance Data, Analytics & MI function, building a high-performing and commercially focused team.
- Develop and execute the organisation’s Finance MI and Analytics strategy, aligning reporting with wider business objectives.
- Own the production of Executive and Board-level financial and operational performance reporting.
- Deliver insightful analysis across:
- Revenue
- Profitability
- Productivity
- Cost performance
- Key business drivers
- Partner with Finance, FP&A, Commercial, Operations & Risk teams to provide actionable insights for strategic decision-making.
- Drive the evolution of reporting from historical MI towards predictive and forward-looking analytics.
- Lead development of:
- Financial dashboards
- KPI reporting
- Business performance packs
- Support budgeting, forecasting, and performance management through enhanced data & analytical capability.
- Improve reporting automation, data visualisation, and self-service analytics across the business.
- Ensure strong governance around:
- Financial data integrity
- Reporting standards
- Data quality
- Prioritise analytical projects delivering measurable commercial value.
- Foster a culture of continuous improvement, evidence-based decision-making, and commercial accountability.
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.
Essential Experience
- Qualified accountant (ACA, ACCA, CIMA) or equivalent commercial finance background.
- Experience with Microsoft Fabric (highly desirable/ideally essential) or modern data platforms.
- Significant experience leading Finance MI, FP&A Analytics, Commercial Finance, or Business Insight functions.
- Strong understanding of:
- Financial performance reporting
- Budgeting & forecasting
- KPI management
- Experience supporting CFOs, Finance Directors, or Executive Leadership teams.
- Knowledge of SQL and cloud-based data platforms.
- Experience delivering:
- Finance transformation
- Reporting automation
- Enterprise-wide BI initiatives


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Opportunity
An excellent opportunity for an ambitious finance analytics leader to shape financial data’s role in strategic decision-making—influencing business performance and evolving finance reporting into a commercially valuable function.
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