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 our clients. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful A.I. engines for customizing investment portfolios and more than $5 billion has been traded in portfolios created by its A.I. to date. Our growing team of 15+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
As a Quantitative Technologist, your primary objective is to drive technological innovation to enhance portfolio management, live trading, research infrastructure, and alpha generation. Through the application of modern technology solutions, our aim is to optimize these areas and achieve superior investment outcomes. While having a keen interest in investing is crucial, a background in finance is not a requirement. We value diverse perspectives and recognize that expertise in other fields can bring unique insights to the world of investment management.
During your initial months, we offer starter projects that have been identified as valuable additions to the firm. These projects serve as a solid foundation while also encouraging you to explore independent initiatives. By focusing on improving inefficiencies, proposing iterative enhancements, and taking ownership of important processes and tools, you will have the opportunity to make significant contributions within a short period of time. Our goal is to foster an environment that values exploration, innovation, and efficiency across various areas of the firm.
Qualifications
- Bachelor's or Master's degree from a leading institution in computer science or a quantitative discipline
- Three or more years of professional work experience
- Continuous Drive for Improvement: Are you naturally inclined to strive for excellence and growth, even after achieving significant accomplishments?
- Creative Problem Solving and Probabilistic Thinking: Do you find joy in rapidly acquiring new knowledge, integrating ideas from diverse domains, and employing a data-driven and probabilistic approach to test and implement innovative concepts?
- First-Principle Structured Thinking: We are seeking individuals who possess a strong aptitude for first-principle structured thinking. This involves the ability to break down complex problems into fundamental components, analyze them independently, and arrive at novel solutions based on fundamental principles rather than relying solely on existing knowledge or assumptions.
- Collaborative Mindset: We seek individuals who understand the power of teamwork, valuing the collective strength that surpasses individual contributions.
- Proficiency in Writing Production-Ready Python Code: We are looking for candidates who demonstrate a high level of skill in writing production-ready Python code. This includes not only having a strong command of the Python language but also adhering to best practices in software development, such as writing clean, modular, and efficient code. The ability to design scalable and maintainable systems, implement robust error handling, conduct thorough testing, and effectively document code is essential.
- AWS Cloud Technology Proficiency: We are looking for candidates who possess a strong proficiency in AWS (Amazon Web Services) cloud technologies. This includes a solid understanding of various AWS services and their practical applications in building scalable, reliable, and secure cloud-based solutions. Your expertise in deploying and managing infrastructure on AWS, utilizing services like EC2, S3, RDS, Lambda, and others, will enable you to design and implement robust cloud architectures for our portfolio management, live trading, and research infrastructure needs. Additionally, your knowledge of AWS security best practices and cost optimization strategies will contribute to the overall efficiency and resilience of our cloud-based systems.
- Quantitative Equities Experience (Preferred But Not Required): While prior experience in quantitative equity strategies is preferred, it is not mandatory for this position. We value candidates who bring diverse backgrounds and perspectives to our team. However, if you have previous experience in quantitative equity research, portfolio management, or related fields, it would be considered a valuable asset. Familiarity with concepts like factor-based risk models, generation of alpha signals, and performance attribution will enable you to contribute effectively to our quantitative investment strategies.
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.
If you’re interested, please send your CV, GitHub profile, and a short paragraph on why you'd be an excellent addition to the company to hiring@bkln.com.
Anticipated range of $125,000-$225,000 for base salary, depending on the amount of compensation desired in equity options, and on experience level.
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