Quantitative Research Analyst

March 16

🔄 Hybrid – Brooklyn

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Brooklyn Investment Group

Custom direct indexing for financial advisors - BKLN.com

A.I. • Machine Learning • Data Science • Natural Language Processing • Investing

11 - 50

Description

• Working on large datasets to derive insights and improve investment portfolios • Rigorous data work involving parsing, merging datasets, generating sample statistics, and working with research and production data infrastructure • Quantitative analysis involving fitting models, building and testing quant signals, running historical backtests, monitoring portfolio returns and risk exposures • Close collaboration with senior researchers to learn and grow • Strong coding skills in Python, math, and statistics required; machine learning experience desirable

Requirements

• Master's degree in quantitative discipline • Two or more years of professional work experience in finance • Deep understanding of advanced statistical and quantitative methods • Drive for excellence and growth • Creative problem-solving and probabilistic thinking • First-principles structured thinking • Collaborative mindset • Proficiency in Python libraries like scikit, pandas, and numpy

Benefits

• Opportunity to work with cutting-edge A.I. technology • Personalized portfolio optimization • Opportunity to work with a team of top quant investors, machine learning researchers, and software engineers • Collaborative and supportive work environment • Chance to learn and grow as a researcher

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