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About the role
Role Overview: You will be responsible for undertaking quantitatively driven projects and managing the operational aspects of the strategy running in production. Continuous learning of new ML/Statistical/Analytical skills is essential for successfully executing analytical projects. The role may include: Key Responsibilities: - Deploying existing models/strategies to a wider range of products/exchanges. - Actively monitoring strategies/risk limits during market hours. - Extending automation pipeline for strategy deployment and post-trade analyses. - Tracking performance of active strategies over days and adjusting model parameters with minimal supervision. - Analyzing latency performance of the strategy and collaborating with the infra development team to enhance latency performance. - Collaborating with the 'Production Reliability Team' for any operational/performance issues during trading hours. - Optimizing server setup considering strategy requirements and load for deployment of new releases of the Infra platform. - Working closely with the 'Data Team' for data requirements of existing or new strategies. Qualifications Required: - Proficiency in Linux systems. - Proficiency in python-based analytics frameworks like pandas and numpy. - Working knowledge of at least one pipelining/scheduling software such as airflow, htcondor, kubernetes, etc. - Experience with big data, including understanding the structure of the data. - Willingness to work as per business requirements. Additional Details: Prior experience in the financial market, including working with Tick by Tick data, is preferable. Role Overview: You will be responsible for undertaking quantitatively driven projects and managing the operational aspects of the strategy running in production. Continuous learning of new ML/Statistical/Analytical skills is essential for successfully executing analytical projects. The role may include: Key Responsibilities: - Deploying existing models/strategies to a wider range of products/exchanges. - Actively monitoring strategies/risk limits during market hours. - Extending automation pipeline for strategy deployment and post-trade analyses. - Tracking performance of active strategies over days and adjusting model parameters with minimal supervision. - Analyzing latency performance of the strategy and collaborating with the infra development team to enhance latency performance. - Collaborating with the 'Production Reliability Team' for any operational/performance issues during trading hours. - Optimizing server setup considering strategy requirements and load for deployment of new releases of the Infra platform. - Working closely with the 'Data Team' for data requirements of existing or new strategies. Qualifications Required: - Proficiency in Linux systems. - Proficiency in python-based analytics frameworks like pandas and numpy. - Working knowledge of at least one pipelining/scheduling software such as airflow, htcondor, kubernetes, etc. - Experience with big data, including understanding the structure of the data. - Willingness to work as per business requirements. Additional Details: Prior experience in the financial market, including working with Tick by Tick data, is preferable.