Teza Technologies
Location
Amazonas | Brazil
Job description
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
Basic Requirements
Math skills: statistics, linear algebra, optimization etc
Physics, Mathematics, Computer Science, Engineering or other technical degree is required
Detail-oriented approach
Cross-team communication
Nice to have Requirements
Practical knowledge with Java
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
Job tags
Salary
