Brooklyn Investment Group
Software Engineer - Data
Brooklyn Investment Group, Brooklyn, New York, United States, 11210
Background
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.
As
a Data Engineer, you'll be working on the core of our business, responsible for implementing systems and infrastructure that connect strategy generation, trading, and user interface. These systems are used to manage billions of dollars worth of client assets.
Skills & ExperienceExperience:
3+ years of experience as a software engineer, data engineer, economic consultant, 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.Big Data Technologies : Working with technologies like Hadoop, Spark, and Kafka to process large datasets.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).Strong English communication skills.
$150,000 - $200,000 a year
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.
As
a Data Engineer, you'll be working on the core of our business, responsible for implementing systems and infrastructure that connect strategy generation, trading, and user interface. These systems are used to manage billions of dollars worth of client assets.
Skills & ExperienceExperience:
3+ years of experience as a software engineer, data engineer, economic consultant, 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.Big Data Technologies : Working with technologies like Hadoop, Spark, and Kafka to process large datasets.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).Strong English communication skills.
$150,000 - $200,000 a year