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Quant Researcher

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London

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USD 70,000 - 110,000

Today
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Job summary

An established industry player is seeking a mid-level Quant Researcher to join their dynamic team in London or New York. This role involves performing rigorous research to uncover systematic anomalies in the equities market and requires a strong background in quantitative analysis and data science. You will be responsible for end-to-end development, including alpha idea generation, data processing, and strategy backtesting. The ideal candidate will have a master's or PhD in a relevant field and at least three years of experience in systematic alpha research. If you are highly motivated and possess a collaborative mindset, this opportunity is perfect for you.

Qualifications

  • 3+ Jahre Erfahrung in systematischer Alpha-Forschung im Bereich Cash Equities.
  • Fließend in Datenwissenschaftspraktiken und Python-Kenntnissen.

Responsibilities

  • Durchführung innovativer Forschung zur Entdeckung systematischer Anomalien im Aktienmarkt.
  • End-to-End-Entwicklung, einschließlich Alpha-Ideen-Generierung und Strategie-Backtesting.

Skills

Quantitative Research

Data Science Practices

Feature Engineering

Machine Learning

Statistical Analysis

Python

Education

MS in Mathematics

PhD in Quantitative Finance

Degree in Statistics

Degree in Computer Science

Degree in Economics

Job description

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

Quant shop are recruiting a mid-level quant researcher to be based either in London or New York.

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 quants@ekafinance.com.

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