Quantitative Researcher - Futures (USA)
Develops quantitative models and trading strategies for futures markets using financial data, machine learning, and statistical analysis. Requires 2+ years experience, STEM degree, and Python proficiency.
About the job
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.
Requirements
- 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.
Compensation
- Base salary: $120,000 to $150,000, determined by education and experience.
- Discretionary, performance-based bonus.
Skills
Python, Machine Learning, Statistical Modeling, Financial Modeling, Quantitative Finance, Data Analysis, Backtesting, Trading Strategies
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