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Manage extensive datasets for QRT's research and trading platform, contribute to the design and implementation of the data store and its API, monitor data fetching processes, integrate alternative datasets, and support users.

Manage extensive datasets, design and implement data store, monitor data health, integrate datasets, support users.

As a Python Developer in Data Search & Analytics at QRT, you will source and onboard new datasets, manage data sourcing projects, and solve data-related problems to support trading systems. You will also work with internal tools and collaborate with a global team to improve data usage efficiency.

Conduct research to develop and refine quantitative models for execution strategies, analyze market microstructure and liquidity dynamics, collaborate with other traders/researchers, and monitor trading performance for optimization.

The role involves developing ETL pipelines for large alternative datasets, managing cloud-based systems with AWS, and supporting existing trading and research infrastructure. Collaboration with researchers and engineers is key to successfully integrate and test systems.

As a Quantitative Developer at QRT, you'll enhance key components for electronic trading and data management systems, work alongside traders and quants to implement strategies, and develop a new quantitative trading framework. You will be involved in designing architecture and experimenting with advanced technologies.

The Office Administration Manager oversees daily operations, manages office supplies, coordinates maintenance, organizes meetings, supports senior management with scheduling and travel, manages communications, assigns tasks to administrative staff, assists with onboarding, maintains records, ensures policy compliance, and promotes a productive work environment.