Equity Alpha Quant Researcher

1 month ago


New York, New York, United States Selby Jennings Full time

One of my more successful clients is looking to add an experienced Equity Alpha Quant Researcher to join our team, specializing in mid-frequency statistical arbitrage strategies. In this role, you will be responsible for developing and implementing quantitative models to identify and exploit inefficiencies in equity markets. The ideal candidate will have a strong background in quantitative research, statistical analysis, and financial modeling.

Key Responsibilities:

  • Develop and implement mid-frequency statistical arbitrage strategies in equity markets.
  • Conduct quantitative research to identify alpha-generating opportunities.
  • Analyze large datasets to build predictive models and trading algorithms.
  • Continuously monitor and refine strategies based on market conditions and performance metrics.
  • Collaborate with other researchers and developers to enhance the trading infrastructure.
  • Implement robust risk management techniques to manage and mitigate trading risks.
  • Stay current with the latest market trends, research methodologies, and technological advancements.
  • Document research findings and present results to the team.

Qualifications:

  • Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
  • Proven experience in equity markets and mid-frequency trading strategies.
  • Strong programming skills in languages such as Python, R, or MATLAB.
  • Proficiency in statistical analysis, machine learning, and data modeling techniques.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a collaborative and fast-paced environment.
  • Strong communication skills to explain complex concepts clearly.

Preferred Qualifications:

  • Advanced degree (Master's or Ph.D.) in a relevant quantitative field.
  • Experience with statistical arbitrage and equity alpha strategies.
  • Familiarity with financial databases and data sources.
  • Proven track record of developing profitable trading strategies.


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