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.
Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. 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.
Location
Yerevan, Armenia and London, UK and Austin, TX (Hybrid mode with 3 days in-office requirement)
Key Responsibilities
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
Basic Requirements
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 (NumPy, Pandas etc)
Detail-oriented approach
Written and Verbal English in full-working-proficiency level
Nice to have Requirements
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)
What you’ll get
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
What makes you a match
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
Benefits
Health insurance
Flexible sick time policy
Office Lunches
