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.

Oversee liquidity risk for Markets and Trading activities, including prime brokerage, secured funding, and derivatives. Monitor balance sheets, limits, funding markets, and liquidity stress scenarios; assess regulatory measures such as LCR and NSFR. Provide independent risk challenge, improve analysis processes, identify emerging risks, and communicate findings to senior management while collaborating with Treasury, business units, and risk teams.

Designs, develops, enhances, and supports complex SAP S/4HANA solutions using ABAP, Fiori, RAP, OData, and RESTful APIs. Builds HANA data models, integrations, automation, testing utilities, and CI/CD capabilities. Collaborates with business and technology stakeholders in agile teams, contributes to production support and technical design, and applies enterprise-approved AI-assisted development tools while validating outputs for quality, security, and performance.

Develop and deploy Python-based AI and data science solutions for global research modernization. Responsibilities include machine learning model development, validation, workflow automation using LLMs, data exploration, stakeholder collaboration, data governance, and communicating analytical insights. The role supports solutions from problem framing through production deployment while ensuring regulatory, ethical, and model governance compliance.

Leads software engineering within an agile Payments Technology team, building secure, scalable, high-throughput Java applications. Provides technical guidance, develops and reviews production code, drives AI-assisted engineering practices, improves SDLC automation, and influences product design and technical operations. Requires expertise in Java, Spring Boot, Kafka, cloud-native applications, distributed systems, performance tuning, and responsible AI use. Preferred experience includes Kafka Streams, microservices, Kubernetes, Apigee, behavior-driven design, agentic workflows, and production agentic AI.

Manage derivatives trade support processes including booking, verification, reconciliations, controls, reporting, issue analysis, and production planning. Partner with technology, legal, and compliance teams on operational change and projects. Evaluate over-the-counter derivatives, analyze lifecycle risks, lead user acceptance testing, and improve processes through automation and analytics.

Leads business management strategy and performance initiatives, including financial analysis, productivity improvements, risk mitigation, workflow redesign, technology implementation, and cross-functional coordination. Advises senior leadership, partners with Finance, Technology, Operations, Legal, and Compliance, manages external providers, and represents the business in working groups.

Develops and validates large customer data sets for survey targeting and customer experience insights. Responsibilities include data extraction, sampling, auditing, statistical analysis, data wrangling, recurring file delivery, requirements definition, testing, documentation, and collaboration with data management and strategy teams. Uses SQL, Python, Snowflake, Oracle, and analytical tools to ensure accurate, representative data outputs that meet client SLAs.

Leads multiple software quality engineering teams within asset and wealth management. Responsibilities include developing enterprise QE strategies, automated and performance testing frameworks, CI/CD orchestration, load and scalability testing, monitoring and analytics, AWS validation, and bottleneck analysis. Manages 6–8 QEs, partners cross-functionally, ensures compliance, and guides responsible adoption of AI-assisted engineering and SDLC automation practices.

Leads design, development, testing, and maintenance of enterprise-scale payment applications. Builds Java and Spring Boot microservices, REST APIs, GraphQL services, and React micro frontends. Drives secure coding, automated testing, CI/CD, cloud-native development, observability, troubleshooting, architecture, and responsible AI-assisted engineering practices. Collaborates across product, architecture, operations, and engineering teams while ensuring performance, resiliency, scalability, and maintainability.