Data Scientist
Apply to Job Here
| Company Name | OneMarketData |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Yerevan, Armenia |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
OneMarketData is seeking a Data Scientist to join their team in Yerevan, Armenia. This role involves developing smarter data management solutions for quantitative research, surveillance, and back-testing specifically for discerning financial institutions.
Company Overview
OneMarketData specializes in providing sophisticated data management solutions, particularly OneTick, designed for quantitative research, surveillance, and back-testing. Built by Wall Street experts, the company caters to the advanced data analysis needs of top-tier financial institutions globally.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Conduct quantitative research and analysis using advanced data methodologies.
- Develop and implement sophisticated surveillance techniques for financial data.
- Perform thorough back-testing to validate trading strategies and models.
- Utilize and optimize the OneTick enterprise product for data management.
- Collaborate with financial experts to address complex data analysis requirements.
- Contribute to the continuous improvement of data management solutions.
Requirements
- Strong foundational knowledge in data science, statistics, or a related quantitative field.
- Proficiency with data analysis tools and programming languages (e.g., Python, R, SQL).
- Understanding of financial markets, quantitative finance, or risk management concepts.
- Ability to process and interpret large, complex datasets efficiently.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills to collaborate with diverse teams.
Benefits
- Opportunity to work on cutting-edge data management solutions for top financial institutions.
- Gain exposure to sophisticated Wall Street-level data analysis challenges.
- Collaborative environment with experienced professionals.
- Potential for professional growth and career advancement in data science.
- Competitive compensation and benefits package.
- Work-life balance in a full-time, challenging role.