Quantitative Researcher

We are looking for a Quantitative Researcher to join our team in Yerevan. You will have an opportunity to be a part of an open and collaborative environment that is at the forefront of quantitative investing. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset: communication.

About Teza

Teza is a systematic quantitative hedge fund. Every day we translate complex mathematical concepts into financial strategies trading on the world’s largest markets with synergy between people and technology.

There’s nothing more important to us than collaborative research, uniting the brightest minds on the planet. With offices in six time zones, we never skip a beat – trading 24/7, with holding periods from milliseconds to months.

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

Key Responsibilities

• Building statistical and predictive models

• Conducting a variety of data explorations

• Managing all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring

• Uncovering and exploring market inefficiencies

• Other role-specific responsibilities 
  

• Written and Verbal English in full-working-proficiency level
• Practical Knowledge of Python

• Math skills: statistics, linear algebra, optimization etc

• Physics, Mathematics, Computer Science, Engineering or other technical degree is required

• Detail-oriented approach

• Cross-team communication

• Practical knowledge with Java

• Phd in Physics, Mathematics, Computer Science, Engineering or other similar area
• Competitive Programming Experience
• Participation in Math or related international olympiads, competitions or else

• 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

• 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

• Health insurance

• Flexible sick time policy

• Office Lunches