Futures Quant Researcher: ML-Driven Trading Signals

Trexquant Investment LP; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

PPO Health insurance

Dental insurance

Vision insurance

Pre-Tax Commuter Benefits

Job summary

Trexquant Investment LP seeks a highly skilled Quantitative Researcher to join the Futures team. The role focuses on researching and developing quantitative models for trading and risk management within futures markets.

You will design, backtest, and optimize strategies using Python, ML, and statistical methods. Requirements include a STEM degree and 2+ years in quantitative research, with strong problem-solving and teamwork skills.

Qualifications

• 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 Python and statistical modeling.
• Strong problem-solving skills.
• Ability to work effectively both independently and as part of a team.

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.

Skills

Python

Machine Learning

Statistical Modeling

Problem Solving

Teamwork

Education

BS/MS/PhD in STEM

Job description

Trexquant Investment LP seeks a highly skilled Quantitative Researcher to join the Futures team. The role focuses on researching and developing quantitative models for trading and risk management within futures markets.

You will design, backtest, and optimize strategies using Python, ML, and statistical methods. Requirements include a STEM degree and 2+ years in quantitative research, with strong problem-solving and teamwork skills.