Quantitative Analyst

Harris Allied

(New York, New York)
Full Time
Job Posting Details
About Harris Allied

Harris Allied is dedicated to providing premier Executive Search, Technology and Quant Analyst placement services to the financial services and tech communities.

Responsibilities

Our client is a leading Hedge Fund and industry icon. They have a need for an exceptionally talented Quant to join their stellar team. This individual will apply mathematical techniques and write software to develop, analyze, and implement statistical models for financial trading strategies. Keen insight and innovation are imperative for creating solutions for trading profitably in markets around the globe. Successful quant candidates have traditionally been exceptionally talented students at the top of their math, physics, engineering, and computer science programs; a considerable number have also competed successfully in the United States and International Math Olympiads.

Ideal Candidate
  • Backgrounds in Physics, Math, EE, CS, Machine Learning at top-tier institutions in the US and abroad (generally at the PhD level)
  • Post-docs at top-tier institutions
  • Experience at top-tier research labs
  • Coding experience in languages other than Matlab, R, and SAS
  • Experience working with real world large datasets
  • Best Student Paper awards at conferences like IEEE and NIPS
  • Highly-cited publications in top peer-reviewed journals

Questions

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New York, New York
Skills Desired
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  • Math
  • Matlab
  • Physics
  • SAS
  • Electrical Engineering
  • Machine Learning
  • R
  • Computer Science
  • Doctor of Philosophy
  • IEEE 802.15.4

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