Quantitative Developer (Commodities)
: Job Details :


Quantitative Developer (Commodities)

Caxton Associates , LLC

Location: New York,NY, USA

Date: 2024-09-21T06:40:25Z

Job Description:
About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Monaco, Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi-portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the role: We are seeking a Quantitative Developer to work directly with a Portfolio Manager focused on Commodities. You will have the opportunity to work in a dynamic, entrepreneurial environment and solve complex problems. This role is first and foremost for an excellent developer. The best candidates will be able to grow into a hybrid developer / researcher role. Responsibilities:
  • Work very closely with the Portfolio Manager.
  • Compile, clean, and manage large datasets.
  • Build day-to-day processes.
  • Develop analytic and investment tools and visuals.
  • Create live streaming programs to aid in the management of the portfolio.
  • Support the research and development of investment strategies and execution.
Requirements
  • 2-8 years of experience or an advanced degree in a quantitative field. Strong preference for computer science, engineering, or mathematics, or related field.
  • Great programming skills including Python and a strongly-typed object oriented programming language (e.g. Java, C, C#, C++, Rust).
  • Ability to handle parallel work streams and produce quality solutions quickly.
  • Strong attention to detail.
  • Independent thought and creativity.
  • Goal oriented mindset and a positive, energetic attitude.
  • Strong collaborative skills with the ability to work effectively in a team-oriented environment.
  • Knowledge of commodities and time-series analysis is a plus.
  • Working knowledge of SQL and Linux is preferred.
  • Strong verbal and written communication skills.
  • Display and operate at the highest degree of ethics and integrity.
Apply Now!

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