Quantitative Researcher, Team Global Equities

Teza Technologies · Other US Location

Company

Teza Technologies

Location

Other US Location

Type

Full Time

Job Description


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


Apply Now

Date Posted

09/13/2024

Views

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