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About the role
As a Quantitative Researcher at our company, your main responsibility will be to develop, test, and deploy data-driven strategies to generate alpha across financial markets. You will work closely with the Alpha Research team to identify alpha-generating opportunities across various asset classes by implementing quantitative models and conducting rigorous backtesting and performance analysis of trading strategies. Your role will also involve analyzing large datasets to extract actionable insights, collaborating with trading and technology teams, and continuously monitoring and refining models based on market conditions and performance metrics. Additionally, you will research new data sources and innovative techniques to enhance predictive capabilities, ensuring the robustness, scalability, and efficiency of models in live trading environments. It will be essential for you to document research methodologies, findings, and model performance effectively. Key Responsibilities: - Develop and implement quantitative models to identify alpha-generating opportunities across asset classes - Conduct rigorous backtesting and performance analysis of trading strategies - Analyze large structured and unstructured datasets to extract actionable insights - Collaborate with trading and technology teams to optimize strategy execution - Continuously monitor and refine models based on market conditions and performance metrics - Research new data sources and innovative techniques to enhance predictive capabilities - Ensure robustness, scalability, and efficiency of models in live trading environments - Document research methodologies, findings, and model performance Qualification Required: - Strong foundation in Mathematics, Statistics, Econometrics, or related quantitative fields - Proficiency in programming languages such as Python, R, or C++ - Experience with data analysis libraries (NumPy, Pandas, SciPy, etc.) - Solid understanding of financial markets, instruments, and trading strategies - Hands-on experience with time series analysis and statistical modeling - Familiarity with machine learning techniques and their application in finance - Strong problem-solving and analytical thinking abilities - Ability to work with large datasets and optimize computational performance - Knowledge of backtesting frameworks and risk management concepts Preferred Qualifications: - Bachelors/Masters degree in Engineering, Mathematics, Statistics, Finance, or related field - Exposure to alpha research, systematic trading, or quantitative investing - Experience with alternative data (news, sentiment, satellite, etc.) is a plus - Understanding of derivatives and market microstructure As a Quantitative Researcher at our company, your main responsibility will be to develop, test, and deploy data-driven strategies to generate alpha across financial markets. You will work closely with the Alpha Research team to identify alpha-generating opportunities across various asset classes by implementing quantitative models and conducting rigorous backtesting and performance analysis of trading strategies. Your role will also involve analyzing large datasets to extract actionable insights, collaborating with trading and technology teams, and continuously monitoring and refining models based on market conditions and performance metrics. Additionally, you will research new data sources and innovative techniques to enhance predictive capabilities, ensuring the robustness, scalability, and efficiency of models in live trading environments. It will be essential for you to document research methodologies, findings, and model performance effectively. Key Responsibilities: - Develop and implement quantitative models to identify alpha-generating opportunities across asset classes - Conduct rigorous backtesting and performance analysis of trading strategies - Analyze large structured and unstructured datasets to extract actionable insights - Collaborate with trading and technology teams to optimize strategy execution - Continuously monitor and refine models based on market conditions and performance metrics - Research new data sources and innovative techniques to enhance predictive capabilities - Ensure robustness, scalability, and efficiency of models in live trading environments - Document research methodologies, findings, and model performance Qualification Required: - Strong foundation in Mathematics, Statistics, Econometrics, or related quantitative fields - Proficiency in programming languages such as Python, R, or C++ - Experience with data analysis libraries (NumPy, Pandas, SciPy, etc.) - Solid understanding of financial markets, instruments, and trading strategies - Hands-on experience with time series analysis and statistical modeling - Familiarity with machine learning techniques and their application in finance - Strong problem-solving and analytical thinking abilities - Ability to work with large datasets and optimize computational performance - Knowl
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