About the Role:

State Street Investment Management (SSIM) is the asset management business of State Street Corporation, one of the world's leading providers of financial services to institutional investors. As one of the world's largest asset managers, State Street Investment Management manages approximately $6.3 trillion in assets under management (AUM) and serves institutional, intermediary, and individual investors globally through a broad range of index, ETF, active, and quantitative investment strategies.

SE Active (Systematic Equities Active) is a global investment team within State Street Investment Management that develops and manages quantitatively driven active equity strategies across developed and emerging markets. The team combines proprietary research, advanced data science, machine learning, and portfolio construction techniques to deliver innovative investment solutions for institutional and intermediary clients. Strategies span enhanced index, active, defensive, and market-neutral approaches across global equity markets.

SE Active is seeking a Senior Quantitative Researcher who will contribute to the development of next-generation quantitative investment strategies by combining investment insights, alternative datasets, and sophisticated statistical and machine learning techniques.

Total Experience: 4-10 years

Job Duties:

- Conceptualize and develop alpha strategies using optimization, machine learning, deep learning, NLP, data science techniques, and economic insights.

- Back-test and evaluate investment strategies, data vendors, alternative datasets, and predictive signals to drive innovation and enhance alpha generation.

- Manipulate, engineer, and analyze large structured and unstructured datasets to conduct robust and bias-aware research simulations.

- Partner with portfolio managers, researchers, and data scientists globally to transition research ideas into scalable investment solutions.

- Explore and apply emerging AI, machine learning, and advanced analytics techniques to investment research challenges.

Qualifications and Skills:

- Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative discipline from IITs, NITs, IISc, or other leading institutions.

- Strong knowledge of probability, statistics, machine learning, pattern recognition, NLP, and time-series analysis.

- Excellent programming skills in Python, R, MATLAB, or similar scientific computing environments.

- Experience working with large-scale structured and unstructured datasets.

- Knowledge of database technologies and data engineering concepts.

- Strong interest in financial markets and quantitative investing.

- 2-6 years of industry experience in quantitative research, data science, machine learning, or quantitative development roles.

- Creative, self-motivated, intellectually curious, and detail-oriented with high standards of integrity and quality.

- Strong communication skills and ability to collaborate effectively in a global team environment.

Desirable Skills:

- Familiarity with quantitative investing, factor investing, portfolio construction, or investment theory.

- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Experience with cloud computing platforms and modern data engineering workflows.

- Experience with data visualization and analytical tools such as Tableau or Power BI.