Software Engineer - Data

Posted 9 Days Ago
Brooklyn, NY
Hybrid
150K-200K Annually
3-5 Years Experience
Artificial Intelligence • Machine Learning • Software
The Role
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.
Summary Generated by Built In

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 & Experience

  • Experience: 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.

Top Skills

JavaScript
Python
The Company
HQ: Brooklyn, NY
19 Employees
On-site Workplace
Year Founded: 2016

What We Do

Brooklyn Investment Group is an SEC Registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research, a pioneer in building A.I. that understands human preferences through natural language. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for 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 15+ quant investors, machine learning researchers, software engineers and regulatory experts comes from top financial institutions and universities.

Brooklyn Investment Group was co-founded by John Nay and Erkko Etula to empower independent financial advisors to thrive in the digital era where personalization and access to crypto unlock client engagement and growth.

What's behind the name?

We’re the Brooklyn Investment Group. Our name honors Brooklyn, NY, which for us symbolizes independence, and the aspiration to innovate. Brooklyn is fueled by the vision, energy, and intelligence of its many entrepreneurs — individuals with purpose, impacting not only markets, but culture at large.

We hope to make a similar impact. Brooklyn is unlike any other investment advisor, built on both investment experience — our CIO formerly served some of the wealthiest families in the world, advising them on hundreds of billions of dollars of investments — and an AI technology platform refined by our CEO over several years, powering billions of dollars of trading in the process.

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