Brooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the world’s most powerful A.I. engines for customizing investment portfolios and more than $5 billion has been traded on portfolios created by its A.I. to date. Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
Skills & Experience
Experience: 3+ years of experience as a software engineer, data engineer, or quantitative developer.
Programming: Proficiency in Python is required, and experience with JavaScript is a plus.
Database Management: Knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
ETL Tools: Experience with tools for extracting, transforming, and loading data (e.g., Apache Airflow, AWS Glue).
Data Warehousing: Experience with data warehouses like Snowflake, Redshift, or Google BigQuery.
Cloud Platforms: Familiarity with cloud services such as AWS, Google Cloud, or Azure.
Additional Requirements
Experience with common Python data science packages (NumPy, Pandas, etc).
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