About Us

Founded in 2019, Limestone Investment Advisor is a proprietary trading firm based in New York that deploys systematic, computer-driven trading strategies across equities and derivatives. The firm focuses on delivering strong investment results through rigorous research and analysis.

Role

Quantitative trader to join a team with a primary focus on trading mid-frequency systematic equity and index vol.

Responsibilities

Collaborate with portfolio managers to research and implement quantitative strategies in equity and index vol
Drive the full cycle of alpha research: idea generation, data collection, modeling, and backtesting
Build analytical tools to streamline daily trading and research workflows
Assist in the maintenance and continual improvement of production and trading environments
Improve existing strategies and contribute to portfolio optimization
Monitor trade execution, strategy performance, and portfolio risk
Be a core contributor to growing the team's investment process and research infrastructure

Qualifications

Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, or Computer Science
2+ years of quantitative trading or research experience in equity or index options
Experience with alpha research, portfolio construction, and optimization
Strong mathematical and statistical background, with a demonstrated ability to conduct research on large, noisy, real-world datasets
Experience building statistical, technical, and data-driven predictive signals
Experience managing and running risk is a plus
Proficiency in Python using the machine learning stack (NumPy, pandas, scikit-learn, etc.) in a Linux environment
Strong communication skills, with the ability to present complex ideas clearly
High degree of drive and energy – must be a self-starter, with passion and intellectual curiosity for financial markets

Limestone Investment Advisors

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