eFinancialCareers
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
To apply for this job please visit www.reed.co.uk.
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