About the Role
We are looking for a sharp, intellectually curious finance professional to join our core team as Manager, Corporate Finance. This is a seat at the table kind of a role where numbers drive decisions, and where your analysis will directly shape how the business grows, where it cuts, and how it communicates its story to the outside world.
You will own the FP&A function end to end - from building the MIS that management relies on every month, to constructing the financial models that underpin conversations with investors and lenders. If you are someone who gets energised by granular data, is frustrated by surface-level analysis, and wants to watch your work materialise into real business outcomes, this role is for you.
Objective
- Be a core member of the finance team that provides data-led analysis to management for effective decision-making and course correction.
- Take full ownership of your analysis - from the first number to the final recommendation and watch it shape the business.
Key Responsibilities
1. MIS & Business Reporting
- Own and publish the monthly MIS - a complete, accurate, and timely overview of business operations covering P&L, occupancy, revenue, and cost performance across all centres.
- Build and maintain live dashboards that give management a real-time pulse on the business.
- Produce monthly management commentary that goes beyond the numbers: articulate the why behind every movement, not just the what.
- Ensure zero restatements - data integrity and accuracy are non-negotiable.
2. Budgeting, Forecasting & Variance Analysis
- Lead the annual operating plan (AOP) process - coordinate inputs across functions, build the consolidated budget, and present it to senior leadership.
- Maintain rolling reforecasts on a quarterly basis, tracking actuals against plan and flagging risks and opportunities early.
- Deliver a detailed month-on-month variance analysis across all cost and revenue heads - with root causes, not just numbers.
- Dig into the granularity: understand the truth behind the number, not just the headline figure.
3. Financial Modelling
- Build versatile, scenario-based financial models that can answer queries from investors, lenders, and internal leadership across a range of assumptions.
- Models must be clean, auditable, and built for someone else to navigate.
- Support feasibility analysis for new centre launches, expansion decisions, and capital allocation calls.
- Maintain and update models as actuals roll in and business conditions evolve.
4. Data-Led Problem Solving
- Identify pain points across the business - from electricity cost overruns to sales conversion inefficiencies and bring a structured, data-backed list of potential solutions.
- Work cross-functionally across Accounts, Sales, Operations, and Marketing to understand the details behind any variance or anomaly.
- Flag unusual consumption patterns, cost anomalies, or over-spends proactively.
- Lead and close adhoc analytical and finance projects assigned by the AVP or leadership team, from brief to final output.
5. External Stakeholder Management
- Prepare and submit all investor and lender reports, covenant compliance data, and due diligence information accurately and on time.
- Build and maintain professional relationships with external financial counterparts that reflect the credibility and transparency of the organisation.
6. Internal Stakeholder Collaboration
- Partner closely with Accounts for month-end close, reconciliations, and data accuracy.
- Work with Sales to understand pipeline, conversion, and revenue recognition trends.
- Collaborate with Operations to understand cost drivers at the centre level and identify efficiency opportunities.
- Support Marketing with ROI analysis on campaigns and spends.
Qualifications & Experience
Academic & Professional Qualifications
- CA / MBA in Finance qualified candidates strongly preferred.
- Relevant work experience may be considered in lieu of formal qualification for exceptional candidates.
- IND AS knowledge is a plus; data analytics tools (Power BI, Tableau, Python, SQL) are a significant advantage.
Experience
- 7–10 years of post-qualification experience in FP&A, corporate finance, financial planning, or a business finance role.
- Prior exposure to real estate, coworking, hospitality, or multi-unit retail businesses is preferred but not mandatory.
- Experience in investor-facing or lender-facing roles, preparing financial packages, managing data rooms is valued.
Technical Skills
- Deep, confident command of MS Excel - financial modelling, pivot tables, dynamic dashboards, and scenario analysis.
- Proficiency across the MS Office suite; familiarity with ERP systems (Zoho, SAP, or similar).
- Experience building dashboards in Power BI, Tableau, or equivalent is a strong differentiator.
- Comfort working with large datasets and an instinct for spotting anomalies.
