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Machine Learning Lead

  • Job type: Permanent
  • Location: New York
  • Salary: Competitive
  • Job reference: 65155
  • Sector: Banking and Finance, Selby Jennings, Quantitative Finance
  • Date posted: 28/03/2018
Machine Learning Lead

A boutique prop trading firm focusing on HFT with offices in NY and San Francisco is currently looking for a quantitative researcher to join the group. The currently has about 30 employees and plans to double its headcount over the next two years. This is a very unique opportunity within the financial sector where you will be able to use your strong technical background and quantitative skills to generate alpha, identify trading signals, lower transaction cost, will develop quantitative strategies, research market data, and apply deep learning and AI techniques.

This fund is an industry leader in total returns, cutting edge technology, and growth. You will work along side experts in various disciplines including seasoned traders, machine learning scientist, AI experts, portfolio managers, data scientist and algo executioners. The company currently puts a large emphasis on candidates with a strong understanding of machine learning and finance experience is not necessary. Much of the team is currently made up of past top Silicon Valley talent employees with no prior experience in trading.

Qualifications:
  • Masters or PhD in quantitative field
  • Experience with large data sets
  • Experience in machine learning (specifically deep learning and AI)
  • Understanding of time series analysis and regression
  • Experience with coding and programing (exposure to C++ is a plus)
  • No finance experience required
If interested please apply below!


 


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