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Quantitative Analyst

Calamos Investments
Quantitative Analyst
Illinois, US
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Job Description
Primary Responsibilities:
  • Development and support of quantitative stock selection models.
  • Systematic discovery of alpha signals using traditional and alternative datasets.

  • Incorporate machine learning techniques into systematic strategy research and development.

  • Help ensure that quantitative models, research tools and risk controls are adequate to support new product initiatives.

  • Collaborate with other team members and other groups in order to drive productivity.

  • Support technological infrastructure and analytical research function.

  • Performs related duties as assigned.

Preferred Qualifications:
  • Minimum of five years’ experience in quantitative research and quantitative model development in any asset classes.
  • A graduate degree in a quantitative discipline (e.g., Financial Engineering, Econometrics, Computer Science, Engineering, Math, Physics) is required.

  • High-level proficiency in Python, R or similar programming languages.

  • Previous hands-on experience in quantitative research, data science and predictive Modelling including machine learning is a huge plus.

  • Demonstrated ability to learn and work with cutting-edge statistical methods and computational techniques.

  • In-depth working knowledge of quantitative systems development, tools and engineering techniques including back testing, optimization, attribution, risk control and quality control.

  • Knowledge of industry standard tools and databases such as Factset, Bloomberg, Worldscope, Compustat, IBES, Barra, etc.

  • Ability to take ownership of projects, with a strong focus on quality and accuracy.

  • A passion for investments combined with a strong work ethic, integrity, and a commitment to individual development.

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