- Perform rigorous and innovative research to discover systematic anomalies in the equities market
- End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
- Identify and evaluate new datasets for stock return prediction
- Maintain and improve portfolio trading in a production environment
- Contribute to the analysis framework for scalable research
- MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
- 3+ years of work experience in systematic alpha research in cash equities, with exposures to statistical arbitrage or alternative data research
- Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus
- Experience with signal blending and portfolio construction
- Demonstrated proficiency in Python
- Highly motivated, willing to take ownership of his/her work
- Collaborative mindset with strong independent research abilities
- Commitment to the highest ethical standards The annual base salary range for this role is $150,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Quantitative Researcher
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Quantitative Researcher - London, United Kingdom - Point72
Description
Role/Responsibilities:
Requirements: