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Quantitative Researcher, Team Global Equities


We are looking for Quantitative Researchers to join our Global Equities Team. You will have a chance to build alphas, and conduct research working with datasets covering over 10 different equity markets - US, Japan, China, and others. You will be a part of a dynamic, collaborative research organization. We expect you can work independently, and present the result in a structured, comprehensive manner. 

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


Key Responsibilities

  • Building statistical and predictive models
  • Apply rigorous modeling techniques to explore variety of novel datasets
  • Build new and improve existing signals (long-term)
  • Managing all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring 

Basic Requirements
  • Physics, Mathematics, Computer Science, Engineering or other technical degree
  • Practical Knowledge of Python and Python libraries (NumPy, Pandas, etc)
  • OOP basics
  • ML Basics
  • Math skills: statistics, linear algebra, optimization etc
  • Detail-oriented approach
  • Cross-team communication

Nice to have Requirements
  • Practical knowledge with Java
  • Phd in Physics, Mathematics, Computer Science, Engineering or other similar area
  • Experience participating in international STEM Olympiads

What you’ll get
    
  • Freedom to choose your research direction
  • Build Strategies while becoming the best at what you do
  • Professional guidance from the team
  • Challenges and professional growth

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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