Top Tech Jobs & Startup Jobs in Mumbai

Leads quantitative analysts in developing and launching benchmark, thematic, factor, strategic beta, and multi-asset indexes. Owns the full index lifecycle, including opportunity identification, signal testing, back-testing, methodology design, risk analytics, and launch. Champions AI-enabled research automation, mentors team members, collaborates across research groups, and develops analytical tools, white papers, and client-ready materials.

Leads engineering and data science teams building AI/ML data collection systems for large-scale unstructured data. Provides technical direction across NLP, classifiers, LLMs, MLOps, data pipelines, cloud platforms, security, and system operationalization. Responsibilities include mentoring and hiring talent, overseeing scalable model and pipeline development, collaborating cross-functionally, improving delivery processes, and ensuring reliable, secure, high-performance solutions.

Develop and configure ServiceNow solutions across HRSD, HAM, SAM, ITSM, CMDB, and related modules. Build service catalogs, workflows, integrations, data migrations, reports, dashboards, and automated tests. Collaborate with stakeholders to translate business needs into technical solutions, maintain documentation, ensure platform security and stability, and drive continuous improvements.

Leads and mentors a data engineering team responsible for enterprise data pipelines, models, governance, quality, and platform reliability. Defines the data engineering roadmap, guides cloud architecture decisions, and partners with business and technology leaders. Oversees scalable ETL/ELT workflows using modern data technologies, optimizes performance and costs, and advances AI-enabled analytics capabilities. Builds team effectiveness through hiring, coaching, retention, and performance development.

The Talent Acquisition Operations Analyst optimizes recruiting processes, systems, data integrity, governance, and candidate experience for India. Responsibilities include serving as a Workday Recruiting subject matter expert, gathering requirements, leading testing and deployment, maintaining playbooks, developing reporting needs, resolving process and technology defects, supporting recruiter training, coordinating communications, and assisting with vendor evaluation. The role requires strong talent acquisition operations, analytics, process improvement, stakeholder management, and India recruiting compliance expertise.

Develops innovative investment indexes from ideation through launch, conducting quantitative research, portfolio construction, validation, and analytics. Collaborates with research and product teams, applies statistical and machine learning techniques, and creates white papers, factsheets, presentations, and client materials. The role requires strong investment knowledge, programming and SQL proficiency, communication skills, and experience in quantitative finance or related analytical fields.

Supports structured finance analytics by automating data analysis, document downloads, data storage, reporting, and workflow optimization. Combines data from multiple sources, develops analytics using databases and cloud storage, and contributes to ratings, research, surveillance, and criteria development. The role requires accuracy, organization, teamwork, process improvement, and compliance with company policies.

Lead and manage a development team to design, implement, test, and maintain full-stack .NET-based applications on AWS. Drive architecture and technical decisions, enforce coding standards, collaborate with product and architecture teams, mentor developers, and use Agile practices to deliver features and improve team performance.

Produces recurring fund performance, attribution, risk, and peer comparison reports using Morningstar Direct and Excel. Troubleshoots return discrepancies, validates benchmarks, pricing, indexes, and vendor data, and uploads information to internal applications. Handles performance inquiries, supports GIPS verification, and contributes to portfolio attribution analysis. The role requires strong analytical, quantitative, communication, organization, and problem-solving skills, along with flexibility to support global colleagues during varying hours.

Manage and resolve product ticket issues, prioritize escalations, document workflows, and improve operational processes. Administer investment platform activities including deposits, withdrawals, account maintenance, reporting, reconciliations, corporate actions, and income distributions. Monitor discrepancies, maintain data accuracy and security, coordinate with internal and external stakeholders, and support wealth management operations. Requires strong financial services knowledge, analytical ability, organization, communication, and Excel skills.