Quantitative Researcher


Division

Financial Services - Front Office

Location

New York, New York

Employment Type

Permanent



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Our client a highly sophisticated quantitative driven Hedge fund is seeking an experienced researcher to work across several Fund Strategies.  

Job Description:


Compensation : $200000 - $0
Job ID : 13667

  • Use a rigorous scientific method to develop sophisticated investment models and shape our insights into how the markets will behave
  • Apply quantitative techniques like machine learning to a vast array of datasets
  • Create and test complex investment ideas and partner with our engineers to test your theories
  • Join our reading circles to stay up to date on the latest research papers in your fields
  • Attend academic seminars to learn from thought leaders from top universities
  • Share insights from conferences focused on statistics, machine learning, and data science

Job Requirements:


  • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
  • Intermediate skills in at least one programming language   (like C, C++, Java, or Python)
  • Experience performing an in-depth research project, examining real-world data
  • Ability to think independently and creatively approach data analysis and communicate complex ideas clearly
  • Candidates with Experience in Technology, Hedge Funds or Investment Banking

 

Disclosure:  The hourly rates and/or salaries listed may or may not reflect total compensation packages including bonus and fringe benefits, etc., nor are the advertisement(s) posted a guarantee of a certain compensation package for a position or bona fide offer of employment.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

 

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