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Position: Quantitative Analyst
Institution: Calamos Investments
Location: Illinois, United States
Duties: 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
Requirements: Minimum three 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); 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
   
Text: Skip to main content Hinweis zur Barrierefreiheit: Wenn Sie auf Arbeitsuche sind und eine Behinderung haben und Hilfe benötigen, um sich für eine unserer Stellen zu bewerben, erfahren Sie unter folgenden Kontaktinformationen, wie Sie alternative Bewerbungsmöglichkeiten anfordern können: Barrierefreiheit für Bewerber Calamos Recruiting Freie Stellen suchen Deutsch Anmelden Quantitative Analyst Stellenkategorie: Investments Anforderungsnummer: JUNIO01111 Postingdetails Gepostet: 29. Juli 2020 Vollzeit Illinois Illinois, USA Tätigkeitsdetails Beschreibung 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. Minimum Qualifications: Minimum three 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). 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. Calamos Investments
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