Role Overview
JPMorgan Chase & Co. is seeking a Research Analyst within its Asset & Wealth Management Technology and 55ip team located in Powai, Mumbai, Maharashtra, India. In this quantitative research and software development role, you will research, build, backtest, and maintain core algorithmic models and optimization engines powering technology-enabled investment platforms for large advisory and wealth management institutions. Combining advanced mathematical principles, statistical computing in Python, and modern software engineering practices, you will translate financial requirements into production-ready algorithmic solutions.
Core Responsibilities
- Algorithm Research & Development: Lead the end-to-end research, design, implementation, and maintenance of scalable quantitative investment algorithms and mathematical optimization models.
- Data Modeling & Validation: Analyze and investigate multi-asset financial datasets to evaluate suitability for new and existing algorithmic frameworks, vetting quantitative outputs for numerical precision.
- Software Engineering & Testing: Write clean, maintainable Python code adhering to enterprise design standards; conduct thorough unit testing, execute code reviews, and provide support through deployment and post go-live phases.
- Innovation & Experimentation: Drive algorithmic improvements through experimentation with machine learning techniques, advanced statistical formulations, and high-performance computing hardware.
- Stakeholder & Platform Collaboration: Partner closely with technology teams, platform architects, and investment strategists within an Agile framework to capture requirements and align algorithmic integrations.
Qualifications & Requirements
- Educational Background: Master’s degree in Computer Science, Computational Mathematics, Financial Engineering, or a related quantitative discipline.
- Professional Experience: 2+ years of hands-on experience in a quantitative research or financial engineering role with formal training in software engineering concepts.
- Programming & Analytics: Demonstrated proficiency in Python development utilizing scientific and quantitative modules including Pandas, NumPy, SciPy, and Scikit-Learn.
- Financial Domain Knowledge: Solid understanding of financial capital markets, investment instruments (such as stocks, ETFs, and mutual funds), and familiarity with financial data systems (Bloomberg, Reuters).
- Development Tooling: Hands-on experience working with Git version control, Jira issue tracking, unit testing frameworks, and Agile product workflows.
- Preferred Capabilities: Working familiarity with commercial mathematical solvers and optimizers (Gurobi, CPLEX) or hands-on experience with direct-indexing wealth management products.
About JPMorgan Chase & Co.
JPMorgan Chase & Co. is a leading global financial services firm providing innovative solutions in investment banking, asset and wealth management, commercial banking, and financial transaction processing. The Asset & Wealth Management organization delivers global investment management and private banking solutions to institutions, advisors, and individuals worldwide.