Senior Analyst - Real Estate Finance Data Management & Analytics

Role Overview

This Senior Analyst Wipro role supporting world’s largest alternative investment management company within the Real Estate Finance Real Estate Finance, working closely with global business, product and functional teams across the US, Europe and APAC. The role offers exposure to real estate equity and debt, open- and closed-ended vehicles, and a range of asset classes shaped by client’s thematic investment approach. It combines financial judgement, business acumen and data skills to improve the processes and insights behind valuations, performance, planning and reporting, while building foundations for automation and frontier AI deployment.

Key Responsibilities

•    Take ownership of complex finance and data challenges, partnering with client’s Real Estate Finance teams to deepen financial insights and shape solutions across the global platform.
•    Analyse valuations, investment performance, financial statements and forecasts, moving beyond reporting to explain underlying drivers, investigate discrepancies and inform business decisions.
•    Translate complex financial questions into analytical solutions that connect fund- and investment-level data to actionable insights.
•    Help establish trusted financial-data foundations, developing consistent definitions, reconciliations, controls and traceability across funds, products and functions.
•    Challenge and redesign existing finance processes, combining financial judgement, hands-on analysis and automation to improve scalability, efficiency and control.
•    Develop and implement finance applications for industry-leading AI tools and frontier models, enhancing analytics and automating workflows with rigorous financial validation.
•    Drive solutions from initial problem definition through implementation and adoption, working across Wipro, client’s Finance, Technology, Innovations and Transformation teams to embed improvements and establish reusable standards.

Experience & Capabilities

•    3 -5 years of experience with a track record of taking ownership of complex financial problems, delivering improvements and working independently across business and technology teams.
•    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.
•    Strong financial-statement knowledge; experience in fund finance, including capital calls, distributions, liquidity forecasting, net income, fees and expenses, valuations, mark-to-market analysis and GAV-to-NAV reconciliations, is an advantage.
•    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.
•    Experience in FP&A, including budgeting, rolling forecasts, variance analysis, driver-based financial modelling and scenario analysis, is an advantage, with the ability to translate results into clear management insights and planning decisions
•    Exposure to real estate equity or debt, including loan operations, leverage, hedging and currency exposure, is an advantage.
•    Strong stakeholder management and influencing skills, with the ability to engage senior stakeholders, challenge proposed solutions and translate complex financial questions into clear data requirements, insights and decisions.
•    Hands-on experience applying industry-leading AI tools and frontier models to financial analytics and workflow automation, supported by appropriate controls and validation; experience with Copilot, Cowork or Copilot Studio is an advantage.
•    Ability to work closely with business teams and connect detailed data analysis to financial questions and decisions.
•    Experience improving data quality, controls, reporting or visualisation through clear definitions and documentation, using tools such as Alteryx, Tableau, Power BI or Sigma, is an advantage.