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Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

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.
• Robust 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.

Mandatory Skills: Financial Planning & Analysis.

Experience: 5-8 Years.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

📌 Lead Analyst - Real Estate Finance Data Management & Analytics (Bengaluru)
🏢 Wipro
📍 Bengaluru