Quantitative Researcher - Experienced Hires (USA)
Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.
About the job
Responsibilities
- Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals.
- Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading.
- Investigate and implement state-of-the-art academic research in the field of quantitative finance.
- 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 any STEM field
- 2+ years in a systematic trading environment
- Passion for machine learning
- Fluent with programming languages like Python
- Strong problem-solving skills
- Ability to work effectively both as an individual and a team player
Benefits
- Competitive salary plus bonus based on individual and company performance
- Collaborative, casual, and friendly work environment
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents
- Pre-tax commuter benefits
- Weekly company meals
Skills
Python, Machine Learning, Quantitative Finance, Data Analysis, Backtesting, Financial Data, Statistical Algorithms
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