Strategic Finance Associate

About the role

The Strategic Finance team is looking for an Associate to help strengthen how the business plans, tracks performance, allocates resources and makes decisions across markets. The role partners with country and functional teams on planning, performance management and strategic initiatives that link directly to the P&L. It suits someone who is analytical, commercially minded and comfortable solving complex problems in a fast-moving, multi-market environment.

Key responsibilities

• Drive the annual and quarterly planning process end-to-end with country and functional teams, aligning financial targets and strategic priorities.
• Deliver financial insights that drive action, partnering with data engineering and analytics teams to improve data accessibility and automate where possible, and investigate discrepancies when numbers do not reconcile.
• Lead or support cross-functional projects that improve financial performance and operational efficiency, with full visibility of P&L impact.
• Present financial performance, strategic recommendations and risk/opportunity assessments to senior leadership regularly.
• Analyse performance trends and variance drivers across markets and turn them into a clear summary for leadership.
• Work with stakeholders to improve business reviews, financial reporting and strategic forecasting.

Required profile

• 5-7 years of experience in strategic finance, investment banking, transaction advisory, management consulting or PE/RE fund operations; real estate or asset-heavy business experience is a plus.
• Strong analytical and problem-solving skills, with commercial judgment and data fluency.
• Clear communication and storytelling, and proven stakeholder management across country, functional, finance, data and leadership teams.
• Self-starter, ownership mindset, adaptability and growth mindset.

Required skills

• Financial modelling and business planning with strong Excel skills, including driver-based forecasts, scenario analyses, budget models and performance tracking tools.
• Comfortable with large or imperfect datasets; familiarity with SQL, Python, BI tools or similar is a plus.