Qube Research & Technologies
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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.
As a Generative AI Engineer at QRT, you will design and deploy advanced AI models, collaborating with teams to solve complex issues in investment management. Your role includes optimizing large language models and processing large datasets while utilizing advanced AI techniques to enhance performance.
As a Data Engineer at QRT, you will utilize Python web frameworks to improve data accessibility, analyze and generate insights using the OpenAI API, optimize Large Language Models, and manage latency data for various teams, ensuring high code quality and best practices.
As a Software Engineer in the Data Engineering team at QRT, you will design, build, and expand the data platform, focusing on a new data pipeline framework. Responsibilities include developing scalable solutions, writing automated tests, and collaborating with teams to enhance framework features.
Create high-quality predictive signals using large datasets, identify statistical patterns, implement signals, and monitor performance. Strong coding skills in Python, R, Matlab, C++, C#. Advanced degree in quantitative field required. Ability to multi-task, explore large datasets, and work autonomously.
Develop ETL pipelines, manage cloud-based systems, monitor and support trading infrastructure for the Commodities desk at Qube Research & Technologies.
The Data Integration Specialist will manage extensive datasets for QRT's research and trading platform, contribute to data store design and API implementation, monitor data processes, integrate alternative datasets, and provide support to users such as Quants and Traders.
Contribute to financial data research by extracting and processing data from multiple sources like Bloomberg and S&P Capital IQ. Collaborate with traders and researchers to ensure accurate data access, track updates, and resolve discrepancies. Enhance data handling with Excel macros, VBA, and Python.
In this role, you will test alternative datasets collaboratively, automate predictive feature extraction using machine learning, manage the data science project lifecycle, apply various data methods, and work with quantitative researchers and data engineers.