Top Tech Jobs & Startup Jobs in Mumbai

Performs advanced quantitative analysis on complex datasets to develop business strategies, improve product and campaign performance, and deliver actionable insights. Responsibilities include data mining, statistical analysis, visualization, reporting, data quality assessment, anomaly detection, and stakeholder communication. The role serves as a data analytics subject matter expert, contributes to data models and enterprise data strategies, supports process improvement, and independently manages analytical programs and business initiatives.

Leads firmwide control-management programs, application development projects, governance forums, roadmaps, risk mitigation, change management, and executive reporting. Owns User Acceptance Testing governance, including readiness standards, entry and exit criteria, defect management, and sign-off. Aligns business, product, technology, risk, and control stakeholders while managing dependencies and delivery commitments. Mentors program managers and standardizes portfolio delivery practices.

Leads data science and machine learning initiatives for sales strategies, customer segmentation, campaign effectiveness, and branch optimization. Designs experiments, develops statistical and ML models, writes Python code, and converts prototypes into scalable production solutions. Collaborates with business, product, and technology partners to integrate ML into banking operations. Requires strong expertise in statistical modeling, machine learning, communication, and applied financial-services analytics.

Conducts deep-dive analyses, reporting, and data storytelling to guide product strategy and business decisions. Builds LLM-powered analytics applications, develops data products, defines success metrics, and identifies AI opportunities. Partners with Product, Design, Engineering, and senior leadership to improve product performance, customer experience, and measurable business outcomes.

Manages end-to-end trade processing, including order entry, execution, settlement, asset and cash monitoring, and operational controls. Leads a diverse team, applies automation and data analysis to improve trading systems, identifies risks and trends, and communicates insights to senior stakeholders. Drives continuous improvement, innovation, and strategic alignment across trading services operations.

The Quality Analyst designs and executes manual and automated testing for blockchain applications and financial workflows. Responsibilities include functional, integration, regression, API, end-to-end, performance, load, security, and penetration testing; validating smart contracts, ledger transactions, data integrity, and settlement workflows; managing test plans, defects, traceability, and audit evidence; and collaborating with developers, product owners, and analysts in Agile and Scrum environments.

Manage grantmaking operations, budgets, payments, financial accounts, regulatory reporting, audit requests, grant documentation, and portfolio tracking for India and other markets. Coordinate cross-functional grant reviews, reporting, governance, process improvements, training, and quarterly committee activities. Advise Corporate Responsibility leaders on budgeting, controls, business planning, and grant lifecycle processes while ensuring accurate records and compliance.

Leads technical programs and cross-functional initiatives for Asset and Wealth Management Technology India. Responsibilities include employee engagement, communications strategy, change management, events, executive messaging, stakeholder management, process improvement, risk planning, and program governance. The role also promotes AI-assisted workflows, manages shared technology capability initiatives, and ensures quality through validation, reporting, and strategic communication.

Analyze complex datasets and develop actionable insights for marketing offers, campaigns, customer behavior, and business growth. Build executive dashboards, operational reporting, and deep-dive analyses using SQL, Python, Alteryx, and Tableau. Partner with cross-functional stakeholders and senior leaders to communicate findings, define metrics, evaluate performance, and recommend data-driven strategies. Independently manage analytical programs, improve processes, and support data product and AI-driven solution development.

Lead enterprise business intelligence and advanced analytics for Commercial Investment Banking. Deliver governed semantic layers, Sigma and Tableau visualizations, AI-enabled natural language querying, predictive analytics, and insight-to-action governance. Partner with executives and Data Engineering, measure adoption and ROI, drive change management, and develop analytics talent. The role balances hands-on delivery with strategic leadership and requires advanced SQL, Python, statistical analysis, AI implementation, data governance, and executive communication.