Top Tech Jobs & Startup Jobs in Mumbai

Supports budgeting, forecasting, financial modeling, spend analysis, and performance analysis for central functions. Provides financial insights to business leaders, ensures consistent FP&A processes across regions, identifies risks and opportunities, and develops mitigation plans. The role requires cross-functional collaboration, stakeholder relationship-building, strong analytical and communication skills, and advanced Microsoft Excel proficiency.

Leads month-end and quarterly close activities for the Americas, ensuring accurate, compliant, and audit-ready financial records. Responsibilities include reviewing financial statements, analyzing variances, preparing reconciliations, supporting GL, AP, AR, billing, revenue, accruals, intercompany, and expense accounting, and advising on complex transactions. The role partners with shared services and cross-functional finance teams while driving standardization, automation, close-cycle improvements, and technology adoption.

Build and maintain enterprise data pipelines, ELT processes, data models, reporting structures, and analytics solutions. Cleanse, deduplicate, normalize, and govern data across warehouses and data lakes, including Snowflake. Develop dashboards and business intelligence models, ensure data quality and compliance, apply business logic, and collaborate with technical and non-technical stakeholders to deliver accurate insights and improve operational performance.

Lead AI use-case discovery, design, prototyping and delivery. Partner with business leaders to frame outcomes, design architectures (RAG, LLMs, cloud AI), build MVPs using Python/APIs and low-code tools, and drive adoption with governance and responsible AI practices.

Build and own end-to-end NLP and ML solutions (including LLMs, RAG, embeddings) to extract structured information from documents. Responsibilities include problem definition, data exploration, model development, evaluation, productionization, monitoring, and cross-team collaboration to improve data quality and coverage.

Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.

Support month‑ and quarter‑end close for Wealth entities across EMEA West, prepare regulatory and board reporting, model regulatory capital and stress tests, maintain financial risk register, collaborate with compliance, and improve controllership and reporting processes.

Design and develop rules-based benchmark and strategic-beta indexes across asset classes; lead the full index development lifecycle (ideation, data analysis, back-testing, operationalization, launch); build portfolio construction and analytics tools using statistical and ML techniques; collaborate with research and product teams; and support client-facing materials, white papers, roadshows, and seminars.

Collect, validate, and manage fund and portfolio data from vendors; resolve data issues with product and technical teams; maintain vendor relationships; improve data collection and QA using LSS tools; support database integration and related projects; meet KPIs and SMART goals while working shifts in a hybrid environment.

Manage product ticket queue, prioritize and resolve issues using Salesforce and Jira; perform investment platform administration, reconciliations, corporate actions, and reporting; liaise with stakeholders, ensure data security, and drive process improvements.