Quantitative Researcher, Streams

We are looking for Quantitative Researchers to join our team in Yerevan. You will have a chance to build alphas, and conduct research working with datasets covering different markets. You’ll engage in meticulous research trying to explore the intricate mechanics of financial markets. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data.

If you are driven by intellectual challenges and thrive in solving complex problems, this role offers an unparalleled opportunity.

Yerevan, Armenia and London, UK and Austin, TX (Hybrid mode with 3 days in-office requirement)

• Build statistical and predictive models
• Manage all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring
• Apply rigorous modeling techniques to explore variety of datasets
• Build new and improve existing signals (long-term)
• Optimize quantitative code and numerical methods
• Adapt, fix, write tests, and in some cases re-implement strategies execution code

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

• Phd / MSc degree in Physics, Mathematics, Computer Science, Engineering or similar area
• Practical knowledge of C++ or Java
• Competitive Programming Experience (participation in International STEM Olympiads is a huge plus)

• 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 experienced mentors

• You LOVE solving technical and math problems!
• You love to code and play with data
• 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

• Entry level

• Full-time

• Finance and Sales

• Capital Markets