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Quantitative Researcher, Team Microstructure Futures


We are looking for a Quantitative Researcher to join our Microstructure Futures Team. The team is focused on in-depth understanding of the market microstructure to build sophisticated trading models for most liquid futures markets. 

Location
Yerevan, Armenia (Hybrid mode with 3 days in-office requirement)


Key Responsibilities

  • Work on creating features based on market microstructure
  • Build new and improve existing signals utilizing our extensive feature library
  • Apply rigorous modeling techniques to explore a unique proprietary market dataset
  • Work on other parts of the investment process such as risk and cost modeling  
  • Managing all aspects of the research process, including methodology selection, prototyping, backtesting, and performance monitoring

Basic Requirements
  • Written and Verbal English in full-working-proficiency level
  • Physics, Mathematics, Computer Science, Engineering or other technical degree 
  • Practical Knowledge of Python and Python libraries (NumPy, Pandas etc) 
  • Proficiency with C++ or Java
  • Math skills: statistics, linear algebra, optimization etc
  • Detail-oriented approach
  • Strong critical thinking skills with an analytical and creative approach to problem-solving.

Nice to have Requirements
  • Competitive Programming Experience
  • Market Making / prior HFT experience is a plus 
  • Experience participating in international STEM Olympiads
  • Production experience with C++ or Java

What you’ll get
    
  • On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
  • Build Strategies while becoming the best at what you do
  • Professional guidance from an experienced mentor

What makes you a match
  • You LOVE solving technical and math problems!
  • You love to code and play with data
  • You know how to get people to listen to your ideas
  • You are capable of understanding and improving legacy codebase
  • You are willing to explore new articles and implement suitable ideas
  • Difficult problems make you excited
  • You are not afraid of unknown and love to learn
  • You have A LOT of passion and drive
 
Benefits
  • Health insurance
  • Flexible sick time policy
  • Office Lunches

 

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