Cash Equity Quant Researcher / London/ New York - $Open

Eka Finance

London

1 year ago

Applications closed

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Senior Front-Office Data Scientist, Private Markets (Hybrid)

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

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