Quant Researcher
6 days ago
Job Description:
- Research, develop, and implement financial models and trading strategies for securities (e.g., equities, bonds, options, futures).
- Analyze large datasets to identify patterns, trends, and market inefficiencies.
- Build and optimize mathematical models for pricing, risk management, and execution.
- Collaborate with traders and developers to integrate models into the trading platform.
- Back-test and validate strategies using historical data to ensure robustness and profitability.
- Monitor live trading performance and refine models based on real-world results.
- Stay up-to-date with market trends, academic research, and industry developments in quantitative finance.
- Work closely with risk management teams to ensure strategies comply with risk limits and regulatory requirements.
Qualifications:
- Advanced degree in Quantitative Finance, Mathematics, Physics, Computer Science, Engineering, or a related field.
- 3-5 Years or above quantitative research, trading or related experience.
- Strong quantitative and analytical skills, with a deep understanding of probability, statistics, and linear algebra.
- Proficiency in programming languages such as Python or R for quantitative analysis and model development.
- Experience with data analysis, machine learning, and statistical modeling techniques.
- Knowledge of financial markets, securities, and trading concepts (e.g., market microstructure, arbitrage, portfolio optimization).
- Knowledge of machine learning techniques and their application in trading.
- Familiarity with back-testing frameworks and tools.
- Strong problem-solving skills and the ability to work in a fast-paced, high-pressure environment.
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