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Description: Role Overview: We are looking for a highly analytical and driven Quantitative Researcher to join the Alpha Research team. The role focuses on developing, testing, and deploying data-driven strategies to generate alpha across financial markets. The ideal candidate will have strong mathematical, statistical, and programming skills, along with a deep interest in financial markets. Key Responsibilities (KRA): - 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 Required Skillsets: - 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 Description: Role Overview: We are looking for a highly analytical and driven Quantitative Researcher to join the Alpha Research team. The role focuses on developing, testing, and deploying data-driven strategies to generate alpha across financial markets. The ideal candidate will have strong mathematical, statistical, and programming skills, along with a deep interest in financial markets. Key Responsibilities (KRA): - 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 Required Skillsets: - 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
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