Job Description

Key Responsibilities
•    Tackle complex finance and data challenges alongside client’s Real Estate Finance teams, using financial analysis and data to generate insights and develop solutions across the global platform
•    Analyse valuations, investment performance, financial statements and forecasts to understand underlying drivers, investigate discrepancies and support management and investor reporting.
•    Translate financial questions into analysis and data requirements, connecting fund- and investment-level data to actionable insights.
•    Build to trusted financial-data foundations through consistent definitions, reconciliations, controls and traceability across funds, products and functions.
•    Improve existing finance processes through hands-on analysis, data and automation, reducing manual work and improving scalability and control.
•    Apply industry-leading AI tools and frontier models to finance use cases, enhancing analytics and automating workflows with appropriate financial validation.
•    Take solutions from initial analysis and requirements through testing and implementation, working across Wipro, client’s Finance, Technology, Innovations and Transformation teams.
Experience & Capabilities
•    1-3 years of experience, with strong analytical capabilities and demonstrated experience solving financial or data-driven problems.
•    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 applying industry-leading AI tools or frontier models to analytics and workflow automation is an advantage; exposure to Copilot, Cowork or Copilot Studio is also an advantage.
•    Strong analytical and financial-statement skills, with the ability to understand financial drivers, investigate variances and connect detailed analysis to business questions and decisions.
•    Experience in fund finance, including capital calls, distributions, liquidity, net income, fees and expenses, valuations, mark-to-market analysis and GAV-to-NAV reconciliations, is an advantage.
•    Experience in investment performance analysis, including IRR, time-weighted returns, money multiples, attribution and benchmarking, is an advantage.
•    Experience in FP&A, including budgeting, forecasting, variance analysis, financial modelling and scenario analysis, is an advantage.
•    Exposure to real estate equity or debt, including loan operations, leverage, hedging and currency exposure, is an advantage.
•    Ability to work effectively with business and technology teams, communicate analysis clearly and translate financial questions into data requirements and actionable insights.
•    Hands-on experience analysing and modelling complex financial datasets, with an understanding of data structures, quality, lineage and trusted datasets.
•    Experience with analytical, automation or visualisation tools such as Alteryx, Tableau, Power BI or Sigma is an advantage.
•    Demonstrated interest in improving finance processes through data, analytics and automation, with the ability to contribute from analysis and requirements through testing and implementation.