Top Tech Jobs & Startup Jobs in Mumbai

Manage liquidity, balance sheet, and capital positions for investment banking businesses. Produce recurring liquidity risk and regulatory reports, analyze financial product impacts under Basel III and LCR/NSFR, prepare management metrics packages, coordinate global commentary, ensure reporting data integrity, and support process improvements. The role partners with senior Treasury, Controllers, Global Treasury, and Liquidity Risk Oversight stakeholders.

Manages liquidity, balance sheet, and capital positions for Investment Banking businesses. Produces recurring liquidity risk and regulatory reports, analyzes financial product impacts, prepares metrics and variance commentary for senior management, coordinates with global Treasury and risk teams, and supports process improvements. Requires strong financial markets knowledge, analytical skills, reporting expertise, and proficiency with Microsoft Office; experience with Alteryx, Tableau, or Python is preferred.

Performs financial analytics, FP&A, management reporting, business intelligence, exploratory data analysis, statistical modeling, and AI-enabled workflow automation. Builds dashboards, scorecards, forecasting models, data pipelines, visualizations, and reporting solutions using SQL, Python, Tableau, Power BI, and Alteryx. Partners with Finance, Risk, Business, and senior stakeholders to translate complex financial and operational data into actionable insights while maintaining data quality, reconciliation, auditability, and responsible-AI controls.

Develop and support data visualization, analytics, and reporting solutions using Sigma, Qlik Sense, Tableau, Alteryx, Python, and SQL. Build workflow automation, maintain analytics platforms, ensure data quality and compliance, gather stakeholder requirements, deliver insights, and drive continuous improvement across reporting processes and tools.

Develops secure, scalable Java and Spring Boot microservices and APIs, including design, testing, debugging, and operational stability. Builds AI agents and LLM-enabled engineering workflows using Copilot, Claude Code, and Python, with attention to guardrails, verification, sensitive data handling, and responsible AI. Applies Kubernetes, CI/CD, resiliency, security, and agile practices while contributing to production-grade software delivery and engineering productivity.

Process and reconcile high-volume global payments across cash, trade, merchant, and commercial card transactions. Investigate exceptions, sanctions concerns, fraud indicators, operational errors, and reconciliation breaks while maintaining accurate fund transfers. Collaborate with clients and cross-functional teams, use automation to improve payment operations, support anti-fraud strategies, and coach less experienced colleagues on routine tasks.

Manage enterprise data governance by defining data, metadata, and quality requirements; monitoring and mitigating data risks; maintaining compliance and documentation; resolving data issues with business and technology partners; managing KPIs and SLAs; and developing dashboards and reporting solutions. The role supports data operations, process automation, data quality, retention, security, and continuous governance improvements across business applications.

Leads the design, development, testing, and operation of secure cloud-native microservices for a liquidity risk management platform. Builds scalable and resilient solutions using Java, React, AWS, distributed systems, and modern architectural patterns. Provides technical troubleshooting, code reviews, automation, continuous delivery, incident remediation, and mentoring while promoting engineering best practices and cross-team collaboration.

Perform compliance and operational risk control testing, evaluate control design and effectiveness, identify gaps, document walkthroughs and evidence, report findings, and support remediation. Collaborate with control owners and cross-functional teams while interpreting policies, regulatory requirements, and risk metrics. Improve testing methodologies and use analytical techniques and reporting tools to identify exceptions and support control governance.

Owns the vision, roadmap, stability, and execution of mission-critical account management data services. Leads BAU operations, incident resolution, stakeholder coordination, requirements definition, release sequencing, and performance measurement. Drives modernization through AI automation, data quality improvements, scalable workflows, and operational controls. Partners across business, operations, technology, and controls to improve service delivery, user experience, straight-through processing, and data quality.