State Street Investment Management is looking for a Quantitative Research Analyst to help shape the next phase of growth for their Systematic Equity team by solving investment problems with innovative data and modeling techniques on a cutting-edge distributed computing platform.
Requirements
- Excellent coding skills with experience in Python, SQL and/or R.
- Strong working knowledge of theoretical and practical concepts in machine learning including natural language processing.
- Experience with distributed computing is a plus.
- Experience working with a large amount of structured/unstructured data is a plus.
- Great analytical skills with solid knowledge in statistics.
Responsibilities
- Generate ideas for investment process innovation and improvements with key focus in alpha generation and portfolio construction.
- Execute research projects including interpreting, presenting and implementing results.
- Contribute to maintaining and improving our state-of-the-art computing platform for research and production models.
- Explore and evaluate alternative data sources and advanced machine learning techniques to solve investment problems better.
Other
- Advanced degree (PhD/MS or equivalent) in finance, economics, or a quantitative discipline such as computer science, mathematics, statistics, physics or engineering.
- Minimum 2 years of work experience in quantitative finance or data science. Candidates with a doctoral degree and no work experience may be considered.
- Deep knowledge of quantitative equity investment is strongly preferred but not required.
- Strong problem-solving capabilities with attention to details.
