Quantitative Researcher - Experienced Hires
Develops machine-learning models and systematic trading strategies by analyzing large financial datasets, researching alpha signals, and backtesting hypotheses. Requires a STEM degree, 3+ years in systematic trading, Python proficiency, and strong English communication skills.
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 increase 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.
- 3+ years of experience in a systematic trading environment, preferably with a live trading track record.
- Strong interest in machine learning.
- Fluency in programming languages such as Python.
- Strong problem-solving skills.
- Ability to work effectively independently and as part of a team.
- Strong English communication skills for daily professional interactions.
Benefits and Compensation
- Competitive compensation with a bonus tied to the performance of developed algorithms.
- Collaborative work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Comprehensive healthcare and insurance benefits.
Skills
Python, Machine Learning, Quantitative Finance, Systematic Trading, Statistical Modeling, Data Analysis, Backtesting, Signal Research, Portfolio Construction, Financial Data
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