Top Tech Jobs & Startup Jobs in Mumbai

Develop and maintain software tools, UIs, frameworks, systematic trading strategies, monitoring systems, and attribution platforms for commodities trading. Process and analyze large datasets for alpha research, improve model robustness and integration, and collaborate closely with traders, quantitative researchers, and software developers. The role requires strong Python development, data science, visualization, database, and systematic research capabilities.

Supports product control for Global Investment Banking across APAC by ensuring accurate accounting, booking, billing, revenue, risk reporting, and financial records. Partners with Financial Control and other stakeholders during month- and quarter-end close, investigates balance sheet and P&L variances, manages control and regulatory risks, and improves operating processes. The role also contributes to project initiatives and maintains strong transaction governance.

Bridges business, operations, product, and engineering teams by eliciting requirements, translating them into technical solutions, analyzing data, documenting architecture, and supporting governance. Defines user stories and test scripts, executes testing, and uses automation tools for end-to-end testing. Requires payments-domain knowledge, automated testing experience, strong technical writing, data visualization, communication, problem-solving, and familiarity with Cucumber, Gherkin, Java, Selenium, or similar tools.

Build and manage large-scale data applications and data lake solutions for Finance and Securities Services. Integrate and model complex datasets, conduct analysis with SQL and Python, automate processes, and develop scalable analytics products. Manage projects end to end, including requirements gathering, BRDs, stakeholder coordination, and delivery oversight. Collaborate across Finance, Product, Operations, Technology, and developers, while leading AI/ML initiatives and establishing analytics best practices.

Own daily P&L reporting, month-end close, revenue analysis, forecasting, financial controls, and variance commentary. Analyze billing, revenue recognition, ledger booking, and business drivers while partnering with Product Management, Sales, Trading, FP&A, and other stakeholders. Present reports to senior leaders and support automation, strategic initiatives, process improvements, and business change programs using tools such as Alteryx, Tableau, Databricks, and LLM Suite.

Support and lead reconciliation initiatives across the trade lifecycle: gather and analyze requirements, drive process improvements, manage recon projects, troubleshoot defects, collaborate with Business/Operations/Technology, and assist change management for system/configuration updates.

Develop and support secure, scalable software solutions using Python and Java. Design application architectures, troubleshoot complex technical issues, maintain production code, and apply agile SDLC practices. Use OpenTelemetry, Dynatrace, Splunk, Grafana, Geneos, and Prometheus for observability, dashboards, alerting, and metrics. Analyze data to improve system architecture and coding quality, while responsibly using AI-assisted development tools. Collaborate with peers to validate code quality, security, resiliency, and performance.

Lead global alternatives product strategy and roadmap, simplify and scale target operating model, govern cross-LOB prioritization, drive fintech/AI-enabled data solutions, oversee delivery using agile practices, coach teams, and ensure regulatory, risk, and data governance adherence.

Manage pre- and post-trade cash movements, coordinate funding across business lines, reconcile allocations, support process improvement and automation efforts, assist project work, and develop knowledge of market products and regulations.

Own and scale a client data management product by driving product development, operating model improvements, governance, process optimization, and data-driven execution. The role partners with cross-functional stakeholders, analyzes large datasets, supports agile SDLC delivery, engages users, and shapes product strategy while improving operational rigor and measurable user value.