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Quant Researcher
Eka Finance
London
On-site
GBP 60,000 - 100,000
Full time
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Job summary
An established industry player is seeking a talented researcher to join their team in London. This exciting role involves conducting rigorous research to uncover systematic anomalies in the equities market, along with end-to-end development of trading strategies. You will have the opportunity to work with diverse datasets, enhance portfolio trading, and contribute to scalable research frameworks. Ideal candidates will possess a strong background in mathematics or quantitative fields, along with proficiency in Python and data science practices. Join a collaborative environment where your innovative ideas can drive impactful results in the financial sector.
Qualifications
- 3+ years of experience in systematic alpha research and statistical arbitrage.
- Demonstrated proficiency in Python and data science practices.
Responsibilities
- Conduct innovative research to identify anomalies in the equities market.
- Develop and implement strategies for portfolio trading and research.
Skills
Education
Job description
- 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 quants@ekafinance.com
ID: 1363433
Date Posted: Posted 2 days ago
Expiration Date: 12/04/2025
Location: London
Competitive
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