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Brooklyn Investment Group · 1 year ago

Quantitative Research Analyst

Brooklyn, NY

Full-time

Hybrid

Entry, Mid Level

$125K/yr - $225K/yr

2+ years exp

Brooklyn Investment Group is an SEC-registered Investment Adviser that utilizes advanced A.I. technology for personalized investment portfolios. As a quantitative research analyst, you will analyze large datasets to enhance portfolio performance and collaborate closely with senior researchers.

Artificial Intelligence (AI)Machine LearningNatural Language Processing

Responsibilities

Work on large datasets to derive insights and improve investment portfolios

Parse and merge datasets, generating sample statistics to monitor data quality

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

Qualification

PythonPandasNumpyQuantitative SkillsMachine LearningFinance Domain ExperienceQuantitative Equities ExperienceFirst-Principles ThinkingCollaborative Mindset

Required

Masters degree from a leading institution in a quantitative discipline, such as math, natural sciences, engineering, computer science, and economics

Two or more years of professional work experience in the finance domain

Deep understanding of advanced statistical and quantitative methods

Hands-on experience in conceptualizing real-world problems, implementing models and evaluating results

Continuous Drive for Improvement: Naturally inclined to strive for excellence and growth, even after achieving significant accomplishments

Creative Problem Solving and Probabilistic Thinking: 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-Principles Structured Thinking: Strong aptitude for breaking down complex problems into fundamental components, analyzing them independently, and arriving at novel solutions based on fundamental principles

Collaborative Mindset: Understanding the power of teamwork and valuing the collective strength that surpasses individual contributions

Proficiency in Python: High level of skill in writing Python code, especially libraries in the data science ‘stack' such as scikit, pandas and numpy, including adhering to best practices in software development, such as writing clean, modular, and efficient code

Preferred

Quantitative Equities Experience: 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 allow you to start contributing sooner to our quantitative investment strategies