Key Responsibilities:

• Historical Data Capture and Storage: Design, develop, and maintain systems for the acquisition, storage, and retrieval of historical market data from multiple financial exchanges, brokers, and market data vendors
• Data Integrity and Accuracy: Ensure the integrity and accuracy of historical market data, including implementing data validation, cleansing, and normalization processes.
• Data Architecture Development: Build and optimize data storage solutions, ensuring they are scalable, high-performance, and capable of managing large volumes of

• Versioning and Reconciliation: Develop systems for data versioning and reconciliation to ensure that changes in exchange formats or corrections to past data are properly handled.
• Data Source Integration: Implement robust integrations with various market data providers, exchanges, and proprietary data sources to continuously collect and store historical data.
• Data Access Tools: Build internal tools to provide easy access to historical data for research and analysis, ensuring performance, ease of use, and data integrity
• Collaborate with Trading and Research Teams: Work closely with quantitative researchers and traders to understand their data requirements and optimize the systems for data retrieval and analysis for backtesting and strategy development.
• Performance and Scalability: Develop scalable solutions to handle growing volumes of historical market data, including ensuring efficient queries and data retrieval for research and backtesting needs.
• Optimize Storage Costs: Work on optimizing data storage solutions, balancing cost-efficiency with performance, and ensuring that large datasets are managed effectively.
• Compliance and Auditing: Ensure historical market data systems comply with regulatory requirements and assist in data retention, integrity, and reporting audits.