Quantitative Researcher

Location - Yerevan, AM

We are seeking a highly motivated Quantitative Researcher to join our team. In this role, you will drive the development of advanced quantitative models and analytical tools that directly influence our trading strategies and overall investment performance. If you thrive on challenging problems, love diving deep into data, and enjoy turning complex insights into actionable strategies, we want to hear from you.

Key Responsibilities

• Model Development & Research:

  • Design, implement, and rigorously test quantitative models to support and optimize trading strategies.

  • Perform exploratory data analysis (EDA) to uncover patterns, correlations, and anomalies that inform model development.

• Data Management & Analysis:

  • Gather, clean, and preprocess data from various sources including market feeds, APIs, and internal databases.

  • Develop and maintain robust data pipelines and ETL processes to ensure data integrity.

• Tool Building & Reporting:

  • Create and refine analytical tools and real-time visualization dashboards to monitor key performance metrics.

  • Present findings through detailed reports, dashboards, and presentations to both technical and non-technical teams.

• Collaboration & Innovation:

  • Work closely with traders, analysts, and IT teams to understand data needs and translate them into innovative quantitative solutions.

  • Stay current with emerging trends and technologies in quantitative research and financial markets.

Basic Requirements

• Educational Background:

  • A degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field.

• Professional Experience:

  • At least 2 years of experience in quantitative research, data analysis, or a similar role within finance or trading.

• Technical Proficiency:

  • Strong programming skills in Python (or a similar language) and experience with data analytics libraries (e.g., pandas, numpy, scikit-learn).

  • Proficiency in SQL and experience working with large, complex datasets.

• Analytical Skills:

  • Solid foundation in statistics, probability, linear algebra, and mathematical modeling.

  • Ability to transform complex data into clear, actionable insights.

• Communication:

  • Excellent communication skills with the ability to effectively articulate technical concepts to diverse audiences.

• Attention to Detail:

  • High level of precision and thoroughness in data analysis and model development.

Nice to Have

• Industry Knowledge:

  • Understanding of financial markets, trading strategies, and various financial instruments.

• Advanced Technical Skills:

  • Experience with ETL pipelines and cloud-based data solutions.

  • Familiarity with data visualization tools such as Plotly, Seaborn.

  • Background in building and implementing predictive models and machine learning techniques.

• Domain Experience:

  • Previous experience in crypto trading or fintech environments is a plus.

What You’ll Get

• Professional Growth:

  • An opportunity to work on cutting-edge research that directly impacts our trading strategies.

  • Freedom and autonomy to explore innovative ideas in a collaborative, supportive environment.

• Impact & Collaboration:

  • Join a team where your insights and expertise directly drive our market success.

  • Thrive in an environment that values continuous learning, creativity, and collaboration.

  • Benefit from salary increases tied to your achievements.

  • Opportunity to become an integral part of our core team.

What Makes You a Match

• You are a passionate and experienced data practitioner with a knack for solving complex problems.

• You communicate your ideas confidently and can translate technical details into clear, understandable concepts.

• You are eager to learn and continuously improve your skills, contributing to both personal growth and the success of the team.

Ready to shape the future of quantitative research in finance?

Send your resume to contact@neoquant.tech.