Quantitative Researcher, All Streams

We are looking for Quantitative Researchers to join our team in Yerevan.

We offer an opportunity to build alphas and conduct research using datasets covering various markets. The role involves meticulous research to explore the mechanics of financial markets, requiring sharp analytical skills, a commitment to excellence, and a passion for uncovering hidden data patterns. If you thrive on intellectual challenges and solving complex problems, this role provides a unique opportunity.

Our team values determination, precision, critical and creative thinking. While the work is demanding, the rewards include impactful contributions and personal growth within a collaborative, high-performance environment. We emphasize autonomy and encourage innovative algorithm development in finance, with a strong focus on communication.

Location
Yerevan, Armenia or London, UK (Hybrid mode with 3 days in-office)

Key Responsibilities

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

Basic Requirements

• Degree in Physics, Mathematics, Computer Science, Engineering, or related technical field
• Strong critical thinking skills with an analytical and creative approach to problem-solving
• Practical knowledge of Python and libraries such as NumPy, Pandas, etc.
• Detail-oriented mindset
• Proficiency in written and verbal English

Nice to Have

• PhD or MSc in Physics, Mathematics, Computer Science, Engineering, or similar
• Practical knowledge of C++ or Java
• Experience in competitive programming or participation in international STEM Olympiads is a plus

What You'll Get

• On-site learning from experienced Quantitative Researchers and Portfolio Managers
• Opportunity to build strategies and excel in your field
• Professional mentorship and guidance

What Makes You a Match

• You LOVE solving technical and math problems!
• You enjoy coding and working with data
• You are eager to explore new articles and implement ideas
• Difficult problems excite you
• You are curious about the unknown and love learning