Top Tech Jobs & Startup Jobs in Mumbai

Lead end-to-end delivery of Treasury and Collateral product initiatives, managing project plans, risks, IT integrations, Agile execution, cross-functional working groups, NFR/control frameworks, stakeholder communications, and senior-management reporting.

As a POD Lead, you'll oversee data migration projects, utilizing Agile and Scrum methodologies, while leveraging your data expertise to drive transformation in financial services.

The Business Analyst will support the Trading Wind Down programme by managing project milestones, collaborating with stakeholders, tracking activities, and generating reports.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

Perform credit underwriting and appraisal for corporate/wholesale clients, prepare end-to-end credit proposals, conduct financial statement analysis and modeling, evaluate loan and collateral structures, assess covenants and monitor compliance.

The Treasury Risk & Controls Specialist will leverage treasury expertise to support risk management initiatives, document internal controls, collaborate with teams on operational risks, analyze data, and drive remediation initiatives.

Produce and independently validate Global Markets P&L and balance sheet, ensure consistent application of accounting policies, value trading portfolios, support Product Control daily processes, liaise with Front Office, Risk, Operations, IT and Central Finance, represent Product Control in meetings, and drive process simplification and control improvements.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Design, build, and maintain cloud-native data pipelines and ETL/ELT workflows for high-volume trade lifecycle data. Integrate DTCC sources (RTTM, Settlement Web) into a Unified Trade Record, process ISO 15022 messages, manage trade exception databases, optimize SQL Server performance, and ensure data quality, lineage, governance, and observability while collaborating with business stakeholders.