Lead Software Engineer, Backend Service Development

About the role

State Street Global Markets (SSGM) Research and Data Intelligence team seeks a Lead Software Engineer (Backend Service Development) to build scalable data and analytics solutions for next-generation financial services. Day-to-day work includes data modeling, time series analysis, anomaly detection, dynamic backend computation, and end-to-end infrastructure for data gathering, analysis, cleaning, signal generation, and model implementation. The role also involves designing and deploying REST API/Micro Services, supporting production issues, and collaborating across global teams. Location: Bangalore, India; work model: Hybrid.

What you’ll do

• Play a key role in data modeling, analysis data model development/implementation, time series data analysis, data anomaly deduction, and dynamic backend computation
• Automate advanced data processing methodologies for stand-alone execution in controlled environments
• Establish processes and procedures for managing and working with very large datasets and optimizing repetitive or computationally intensive tasks
• Create end-to-end infrastructure for data gathering, data analysis, cleaning, signal generation, and model implementation
• Design, implement, release engineer (deployment), and support technical solutions following company standards and processes
• Develop highly scalable enterprise-level web applications and RESTful APIs using Micro-Services
• Independently address and resolve production issues and perform root cause analysis
• Communicate with counterparties in different regions on project plans and technical details

What you’ll bring

• 10~14 years of IT experience with strong 5+ years in Python backend code development
• Strong mathematical quantitative background; previous experience in Finance domain preferred
• Implementation experience using REST API/Micro Services and backend development in Python/Java
• Strong working knowledge of financial and statistical concepts
• Hands-on Cloud AWS or Azure experience with DBs like Oracle/SQL SERVER RDBMS, Databricks, Postgres DB
• Expert understanding of Python Core concepts, including functional and class-based design
• Demonstrable experience with Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn
• Experience in Distributed Agile and Lean practices with strong accountability

Nice to have

• MLOps and Quantitative Mathematical Model Development experience/implementation using multi-Asset data
• Experience in quantitative financial research and market data analysis familiarity with vendors pricing and fundamentals dataset
• 4~5 year experience in buy-side or sell-side research

Skills

Benefits

• Inclusive development opportunities
• Flexible work-life support
• Paid volunteer days
• Vibrant employee networks