Cash Equity Quant Researcher / London/ New York - Open
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Added before 4 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
Role:-
*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
Requirements:-
*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
Apply:-
Please send a PDF CV to
*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
Requirements:-
*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
Apply:-
Please send a PDF CV to
Job number 3455273
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