Quantitative Researcher
Develop machine-learning and statistical trading signals for liquid financial assets, analyzing large datasets and testing quantitative-finance hypotheses through simulations. The role requires a STEM degree, Python proficiency, strong problem-solving skills, and an interest in machine learning.
About the job
Responsibilities
- Develop market-neutral, medium-frequency signals that predict future stock returns.
- Design, implement, and optimize machine learning models to predict liquid assets using financial data and trading signals.
- Parse datasets for future alpha strategy development.
- Investigate and implement state-of-the-art academic research in quantitative finance.
- Collaborate with quantitative researchers to conduct experiments and test hypotheses using simulations.
Requirements
- BS, MS, or PhD degree in a STEM field.
- 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.
Nice-to-haves
- Knowledge of financial accounting.
- Background in quantitative finance.
Compensation and Benefits
- Competitive compensation with a performance-based bonus tied to the algorithms developed.
- Collaborative work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Comprehensive healthcare and insurance benefits.
Skills
Python, Machine Learning, Statistical Modeling, Quantitative Finance, Financial Data Analysis, Algorithmic Trading, Signal Processing, Data Analysis, Simulation, Financial Accounting
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