Portfolio Management Engineer

About Us

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, including financial advisory firms and asset managers.

Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios 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, Citadel, and Bridgewater Associates.

If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting‑edge portfolio management platforms in the industry.

As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech‑forward tools to optimize portfolio management, trade execution, and reconciliation processes. You’ll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.

• Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades.
• Take part in the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top‑notch user experience.
• Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle.
• Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.

• Two or more years of professional work experience in equities portfolio management or investment operations.
• Bachelor’s or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics.
• Advanced level of skill in Python programming, following industry best practices in software development, ensuring code is clean, modular, and efficient.
• A desire to work in a fast‑paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management.
• Experience interacting with custodian platforms, such as Schwab and Fidelity, familiarity with order management systems, and trade execution, involving algorithmic solutions, are advantageous but not mandatory.

Anticipated range of $125,000-$160,000 for base salary, depending on the amount of compensation desired in equity options, and on the level of experience.

Brooklyn Investment Group, LLC, is a wholly owned subsidiary of Brooklyn Artificial Intelligence Research, D/B/A of Skopos Labs, Inc. Brooklyn Investment Group and Brooklyn Artificial Investment Research are equal opportunity employers. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.