Quantitative Researcher
Develop machine-learning models and systematic trading strategies by analyzing large financial datasets, researching quantitative finance techniques, and identifying predictive signals. The role requires a STEM degree, Python fluency, and at least two years of systematic trading experience.
About the job
Responsibilities
- Design, implement, and optimize machine learning models to predict liquid assets using financial data and trading signals.
- Parse and analyze large datasets to identify actionable alpha signals and develop systematic trading strategies.
- Investigate and implement state-of-the-art academic research in quantitative finance.
- Improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
- Collaborate with quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through simulations and data analysis.
Requirements
- BS, MS, or PhD degree in a STEM field.
- 2+ years of experience in a systematic trading environment.
- Passion for machine learning.
- Fluency in programming languages such as Python.
- Strong problem-solving skills.
- Ability to work effectively independently and as part of a team.
Benefits
- Competitive salary plus a bonus based on individual and company performance.
- Health insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company meals.
Skills
Python, Machine Learning, Quantitative Finance, Systematic Trading, Statistical Modeling, Financial Data Analysis, Alpha Signals, Backtesting, Data Analysis, Predictive Modeling
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