Role Description:
The Quantitative Researcher is responsible for developing, testing, and implementing quantitative models and strategies to support trading, investment, and risk management decisions. This role involves advanced statistical analysis, financial modeling, and data-driven research to generate actionable insights.
Key Responsibilities:
- Conduct quantitative research using statistical, mathematical, and computational techniques.
- Develop, back-test, and validate financial models for trading, investment, or risk strategies.
- Analyze large datasets to identify patterns, trends, and market opportunities.
- Collaborate with traders, risk managers, and portfolio managers to implement quantitative solutions.
- Stay updated on market developments, financial instruments, and emerging quantitative techniques.
- Document research methodologies, model assumptions, and findings.
- Assist in the development of proprietary tools, algorithms, and automated strategies.
- Ensure compliance with regulatory standards and internal risk management policies.
Qualifications:
- Advanced degree (Master's or PhD) in Mathematics, Statistics, Physics, Finance, Computer Science, or related quantitative field.
- Strong programming skills in Python, R, MATLAB, C++, or similar languages.
- Solid knowledge of statistics, probability, econometrics, and financial mathematics.
- Experience with data analysis, machine learning, and model development.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication skills to present complex findings to non-technical stakeholders.
