Long Description

Key Responsibilities
•    Take ownership of complex finance and data challenges across client’s global real estate platform, partnering with business teams to deepen financial and investment insights, modernise processes and deliver scalable solutions.
•    Analyse valuations, investment performance, financial statements and forecasts to explain underlying drivers, investigate discrepancies and strengthen management and investor reporting.
•    Turn complex financial questions into analytical solutions that connect fund- and investment-level data to actionable insights and business decisions.
•    Build trusted financial-data foundations through consistent definitions, robust reconciliations, controls and traceability across funds, products and functions.
•    Redesign finance processes, combining financial judgement, hands-on data analysis and automation to reduce manual work and improve scalability and control.
•    Develop and implement finance use cases for industry-leading AI tools and frontier models, enhancing analytics and automating workflows with rigorous financial validation and appropriate controls.
•    Drive delivery from requirements through testing, implementation and adoption, working across Wipro, client’s Finance, Technology, Innovations and Transformation teams to embed solutions into day-to-day finance processes.
Experience & Capabilities
•    5 - 7 years of relevant experience, depending on role level.
•    Bachelor’s or master’s degree from a Tier-1 college or university in Finance, Accounting, Engineering or Information Systems; CA, CPA, CFA or an equivalent qualification is an advantage.
•    Experience in investment banking, asset management, private markets, fintech, finance transformation or another fast-paced, data-intensive financial environment.
•    Experience in investment performance analysis and forecasting, including IRR, time-weighted returns, money multiples, attribution and benchmarking, is an advantage, with the ability to validate calculations and explain financial drivers.
•    Strong financial-statement knowledge and grounding in fund finance, with experience across relevant areas including capital calls, distributions and liquidity forecasting; net income, fees, expenses and capex; and valuations, mark-to-market analysis and GAV-to-NAV reconciliations. Exposure to real estate equity or debt, loan operations, leverage, hedging and currency risk is an advantage.
•    Experience in FP&A, including budgeting, rolling forecasts, variance analysis and driver-based financial modelling, is an advantage, with the ability to assess revenue, costs and cash flows, develop scenarios and sensitivities, and translate results into clear management commentary and planning decisions
•    Strong stakeholder management and influencing skills, with the ability to engage senior leaders, challenge proposed solutions and translate financial questions into clear data requirements and actionable insights.
•    Hands-on experience analysing and modelling complex financial datasets, including practical SQL skills and an understanding of data structures, lineage and governance.
•    Experience strengthening data quality, reconciliations and controls, and developing reporting or visualisation solutions using tools such as Alteryx, Tableau, Power BI or Sigma.
•    Demonstrated experience delivering finance transformation and process improvements through analytics and automation, from requirements and prioritisation through testing, implementation and adoption.
•    Hands-on experience with industry-leading AI tools such as Copilot, Cowork and Copilot Studio, and frontier models, to enhance financial analytics and automate workflows, supported by appropriate controls and validation is an advantage.