Vacancy detail

Quantitative Analyst

Location: United States (New York) Type: Permanent

Quantitative Analyst

New York Based

 

Our client is a market leading, Top 10 multi-strategy hedge fund with a very high standing reputation. They have an incredibly successful track record in quantitative trading with a wide ranging portfolio – including a number of alternative technology ventures.

 

Our client is looking for Quantitative candidates to apply mathematical techniques to develop, analyse and implement statistical models within a number of trading strategies. Due to the prestige of this client, successful candidates have traditionally been exceptionally talented students at the top of their respective educational backgrounds, or have had prior relevant experience within competitor banks or funds.

 

Core Responsibilities:

 

  • Work on developing and working with innovative and cutting edge of technology, with like-minded individuals who are also at the very top of their respective fields
  • Examining trading data to increase profitability, decrease risk, and reduce transaction costs
  • Apply your Quantitative knowledge to develop, analyse and implement statistical models within a number of trading strategies
  • Begin researching and developing new trading ideas, as well as construction testing simulations

 

Required skills and experience:

 

  • An advanced Masters or PhD in a quantitative subject such as; Engineering, Software Engineering, Computer Science, Mathematics, Applied Mathematics, Physics etc
  • Exceptionally strong education, and GPA / Grading at University
  • Strong communication skills, ability to work collaboratively as part of a team, with a degree of autonomy

 

Desirable skills and experience:

 

  • Experience in using Python and  C++
  • Ideally, some experience in a previous Quantitative role within tier 1 Banks, Hedge funds, Fintechs or Technology firms – or alternatively some understanding of the Quantitative Finance space (e.g. understanding of asset classes)
  • Coding competition winners, Hackathon winners, Scientific Olympiad/Putnam competition winners etc.

 

If you are interested in this specific role, this particular client, or would like to have a brief introductory conversation to discuss what roles you are currently looking for, please email your CV to: louis.magnani@ansonmccade.com or call: 020 7780 6700

Reference: AMC/AMO/LMA0. To apply for this vacancy: email Louis Magnani

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