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
