As a quantitative research analyst, you will work on large datasets to derive insights and improve our investment portfolios. Your responsibilities include parsing and merging datasets, generating sample statistics, fitting models, building and testing quant signals, running historical backtests, and monitoring portfolio returns and risk exposures. Strong coding skills in Python, math and statistics knowledge, and a keen interest in investing are required. A background in finance is not a requirement, but a passion for learning is. You will collaborate closely with senior researchers and have the opportunity to learn and grow as a researcher.

As a Data Engineer at Brooklyn Investment Group, you will be responsible for implementing systems and infrastructure that connect strategy generation, trading, and user interface for managing billions of dollars worth of client assets. Required skills include Python, JavaScript, database management, ETL tools, data warehousing, big data technologies, and cloud platforms.