FP&A Manager | Hybrid, Strategic Finance & Analytics

Stanford Real Estate Partners; Cambridge; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Healthcare

Medical

30 days annual leave + BH

Job summary

Stanford Real Estate Partners is seeking an FP&A Manager in the Cambridge area to own planning and reporting for its operating business. You will explain performance in plain terms, spot issues early and help managers make better decisions.

Responsibilities include budgeting, forecasting, monthly reporting for conference, events and cost centres, building robust Excel models, and partnering with leaders to drive data-driven decisions.

Qualifications

• Qualified FP&A professional with budgeting, forecasting and variance analysis experience.
• Proficient in building clear, auditable Excel models used by non-finance colleagues.
• Experience partnering with operations and corporate teams to challenge assumptions.

Responsibilities

• Lead budgeting, forecasting and monthly reporting for conference and events, and corporate cost centres.
• Build and maintain clear, accurate financial models in Excel.
• Analyse revenue, margin, occupancy, pricing and cost drivers; explain variability.
• Partner with operational and corporate managers; challenge assumptions and advise.
• Prepare reporting for Board and shareholder packs with reconciliations.
• Improve processes, templates and models for simplicity and reliability.

Skills

FP&A experience

Advanced Excel

Technical mindset

Excellent communication

Attention to detail

Hospitality/events experience

BI/planning tools

Education

ACA/ACCA/CIMA or equivalent

Tools

Power BI

Job description

Stanford Real Estate Partners is seeking an FP&A Manager in the Cambridge area to own planning and reporting for its operating business. You will explain performance in plain terms, spot issues early and help managers make better decisions.

Responsibilities include budgeting, forecasting, monthly reporting for conference, events and cost centres, building robust Excel models, and partnering with leaders to drive data-driven decisions.