Full-Time

Quantitative Research Analyst

Confirmed live in the last 24 hours

Brooklyn Investment Group

Brooklyn Investment Group

11-50 employees

Direct indexing platform for financial advisors

AI & Machine Learning
Data & Analytics
Financial Services

Mid

Brooklyn, NY, USA

Required Skills
Python
SQL
Pandas
NumPy
Requirements
  • Masters degree in a quantitative discipline
  • Two or more years of professional work experience in finance
  • Strong coding skills in Python, including pandas and numpy
  • Strong skills in math and statistics
  • Experience with machine learning
  • Continuous drive for improvement
  • Creative problem solving and probabilistic thinking
  • First-principles structured thinking
  • Collaborative mindset
  • Proficiency in Python
  • Quantitative equities experience (preferred but not required)
Responsibilities
  • Derive insights and improve investment portfolios from large datasets
  • Parse and merge datasets, generate sample statistics, work with research and production data infrastructure on a SQL server
  • Fit models to explain market behavior, build and test quant signals to predict future stock returns
  • Run historical backtests to understand and optimize portfolio performance, monitor portfolio returns and risk exposures
  • Collaborate with senior researchers
  • Value exploration, innovation, open communication, collaboration, and efficiency

Brooklyn Investment Group

Brooklyn Investment Group

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Brooklyn Investment Group offers a direct indexing platform for financial advisors, providing fully personalized separately managed accounts (SMAs) powered by their Bespoke AI™ technology. The platform also includes tax loss harvesting and institutional grade portfolio management, supported by a team of quant investors and software engineers from top financial institutions and universities.

Company Stage

Seed

Total Funding

$14.9M

Headquarters

Brooklyn, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

8%

1 year growth

28%

2 year growth

58%