Top Tech Jobs & Startup Jobs in Pune

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

The role involves managing finance change, regulatory reporting, project management, and software testing, requiring extensive experience in financial services and team leadership.

Manage projects in the transaction banking sector with an emphasis on compliance and retail payments, using Agile methodologies and strong stakeholder management.

Lead end-to-end delivery of treasury and collateral IT integration projects. Combine project management and business analysis to elicit and document requirements, map processes, define target operating models, support UAT, embed NFR and controls, run cross-functional working groups, and present progress to senior stakeholders using Agile practices.

Deliver data-focused manual UAT for liquidity-related systems: perform SQL-driven reconciliations, validate end-to-end processing across UI, DB and reports, triage defects, prepare audit-ready evidence and UAT summaries, and migrate UAT artefacts from Excel into Jira.

Lead test strategy and execution for a large, multi-market banking program. Define incremental testing approach, UAT/SIT governance, entry/exit criteria, coordinate market test leads, manage defects, and report to senior stakeholders to ensure release readiness.

Design and maintain automation frameworks for web and desktop apps, create and integrate CI test pipelines with Jenkins, develop and execute Selenium/Java automated and regression tests, manage and update automation scripts, perform/manual functional testing, document testing activities, and collaborate with onshore/offshore teams to support DevOps and continuous improvement.

Lead business analysis and support project/delivery management for loan products. Own end-to-end requirements, process mapping, solution design, and UAT. Collaborate with Technology, Operations, Risk, Legal, and Product to embed controls, regulatory and contractual requirements, and ensure scalable, controlled delivery across global teams.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

Develop, optimize, and maintain SAS programs and ETL workflows using Base SAS, Macros, PROC SQL and SAS DI Studio. Automate reporting, tune SAS servers, schedule jobs with LSF, extract/cleanse banking data, load into enterprise warehouses, collaborate with clients, QA, and support teams, and produce scalable, maintainable solutions.