We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics.
Responsibilities
- Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals.
- Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading.
- Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
- Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
- Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.
- BS/MS/PhD degree in a STEM field.
- 2+ years of experience in quantitative research, preferably within futures markets.
- Passion for machine learning.
- Proficiency in programming languages like Python and statistical modeling.
- Strong problem-solving skills.
- Ability to work effectively both independently and as part of a team.
- Competitive salary, plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-Tax Commuter Benefits – making your commute smoother.
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
