Top Tech Jobs & Startup Jobs in Mumbai

Leads EMEA Fund Services NAV Operations, overseeing operational teams, risk-based governance, service delivery, reporting, client and regulatory relationships, and strategic transformation. The role drives operational efficiency, change management, digital and AI initiatives, stakeholder engagement, workforce development, and execution of regional and global priorities.

Develop and manage corporate client relationships across FX, Rates, and Investments. Market and execute flow and structured products, advise clients on derivatives and treasury needs, and collaborate with trading, structuring, transaction banking, and corporate banking teams. Drive client profitability, provide comprehensive platform coverage, and mentor junior team members in derivative sales and marketing.

Leads international payments processing operations in a global 24x5/7 environment. Oversees transaction processing, client servicing, controls, quality, timeliness, capacity planning, and continuous improvement. Manages a team of 15 or more, sets departmental strategy, drives process standardization, partners with senior stakeholders, manages projects and escalations, and owns performance management, talent reviews, and operational risk discipline.

Develops, tests, troubleshoots, and maintains secure, stable, scalable software components within an agile team. The role involves Java and Kafka development, system design, multithreading, application resiliency, SDLC practices, database querying, and operational stability. The engineer also uses and validates enterprise-authorized AI-assisted development tools while considering security, data sensitivity, upstream and downstream system impacts, and automation opportunities.

Supports an international strategic transformation program within private banking by coordinating deliverables, stakeholders, governance, risks, issues, and dependencies. Produces senior-management materials, agendas, minutes, newsletters, and status updates; maintains program platforms and documentation; supports change adoption, benefits realization, and Internal Audit requirements. The role also analyzes problems, develops solutions, and helps implement initiatives addressing business and regulatory needs.

Conducts market, industry, and competitive research for JPMorgan’s Commercial and Investment Bank. Uses AI tools, SQL, Python, data analytics, and statistical modeling to synthesize large datasets into strategic insights. Produces reports, presentations, and whitepapers for senior stakeholders, explores advanced analytical methods, and supports ad hoc deep-dive projects aligned with strategic objectives.

Reviews, verifies, and reports client data for accuracy and AML/regulatory compliance. Prepares Currency Transaction Reports and related documentation, responds to operational requests, escalates complex issues, supports process improvements, and manages changing priorities while delivering accurate and timely operational support.

Manage disputes inventory, queues, work-in-progress, capacity planning, staffing scenarios, service levels, reporting, and operational performance. Analyze business, financial, credit, and risk data; reconcile discrepancies; define enhancement requirements; support testing and adoption; and drive process improvement, automation, controls, and executive-ready dashboards in partnership with analytics, technology, and business stakeholders.

Analyze digital customer journeys, funnels, features, and product performance to identify growth opportunities and quantify impact. Define KPIs, measurement plans, experimentation criteria, and success metrics. Translate complex analyses into recommendations and executive-ready narratives that influence product roadmaps and go-to-market decisions. Ensure data quality, instrumentation, governance, and scalable measurement through partnership with engineering and cross-functional stakeholders.

Develop data pipelines, dashboards, AI agents, generative AI capabilities, and scalable model integrations. Use Python, SQL, Databricks, Tableau, and Alteryx to generate actionable insights, monitor model performance, ensure data quality, and support data-driven business decisions on agile teams.