Post Doc Quantitative Researcher

Company: Radley James
Location: San Francisco
Posted on: November 18, 2023

Job Description:

A leading high frequency trading firm which specialises in quantitative and algorithmic strategies are looking to hire Post Doc researchers or PhD students to join one of their main trading teams who want to be trained on how to create highly technical ideas for quant trading strategies using Python. You will have the chance to apply machine learning and statistical modelling in this role as well.
This company are looking for individuals which are excited by technology and the advancement of science in general to create and use state of the art technology efficiently in the financial markets.
By working alongside some of the best minds in the industry, where the workload will lead directly to impacting global markets in a culture where ambition and talent has massive financial rewards, you will gain experience in financial markets and a wealth of knowledge from experienced colleagues who will be supporting and helping you all the way across technology, research and finance.
Requirements:

• 
  
• PhD student ending soon or post doc researcher with 2-3 years experience
  
• Good level of understanding in machine learning, python programming, statistics and probability (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  
• Ability to communicate complex ideas in a clear and concise fashion
  
• A personality which will thrive in a complex, fast paced and high technical environment and a desire to always be learning
  
  Highly competitive packages on offer, please get in touch by applying to this advert or at Volkan.ozbicer@radleyjames.com with your CV if you have any questions.

Keywords: Radley James, San Francisco , Post Doc Quantitative Researcher, Other , San Francisco, California