Elliot Partnership
Quant Developer - Python / Futures / Hedge Fund
Elliot Partnership, New York, New York, us, 10261
We are seeking a Quant Developer to work for a top tier hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Working within a systematic global macro team based in New York with a focus on applying cutting edge statistical and machine learning techniques to short-term strategies in futures, swaps, and FX markets.
Preferred Location:
New York
Principal Responsibilities
Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools for systematic tradingAssist in designing, coding, and maintaining tools for the systematic trading infrastructure of the teamManage SDLC, including unit testing and CI/CD infrastructureAuthor, schedule, and monitor workflow for the teamPreferred Technical Skills
Expert in PythonDemonstrated knowledge of distributed computing technologies (including Kubernetes) and event based architecturesBroad understanding of fixed income, swaps, futures, and FXBachelor, Master's, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field from top ranked UniversityExcellent communication, analytical and quantitative skillsPreferred Experience
Experience with trading platform development, including work with high frequency databases (e.g. KDB)2-5 years of experience in finance or technology3+ years of experience with Python programmingHighly Valued Relevant Experience
Exposure to a systematic trading environment or sell-side equivalent experienceExperience with user interfaces, including CSS frameworks such as Bootstrap or Materialize, as well as visualization frameworks such as D3.jsKnowledge of machine learning and statistical techniques and related librariesTeam player, with a strong desire to participate and help othersStrong critical thinking skills and creativity in developing new ideas
Preferred Location:
New York
Principal Responsibilities
Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools for systematic tradingAssist in designing, coding, and maintaining tools for the systematic trading infrastructure of the teamManage SDLC, including unit testing and CI/CD infrastructureAuthor, schedule, and monitor workflow for the teamPreferred Technical Skills
Expert in PythonDemonstrated knowledge of distributed computing technologies (including Kubernetes) and event based architecturesBroad understanding of fixed income, swaps, futures, and FXBachelor, Master's, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field from top ranked UniversityExcellent communication, analytical and quantitative skillsPreferred Experience
Experience with trading platform development, including work with high frequency databases (e.g. KDB)2-5 years of experience in finance or technology3+ years of experience with Python programmingHighly Valued Relevant Experience
Exposure to a systematic trading environment or sell-side equivalent experienceExperience with user interfaces, including CSS frameworks such as Bootstrap or Materialize, as well as visualization frameworks such as D3.jsKnowledge of machine learning and statistical techniques and related librariesTeam player, with a strong desire to participate and help othersStrong critical thinking skills and creativity in developing new ideas