Hybrid Python Developer - Equities bei Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

We are looking for an exceptional Python Developer to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.   

Your future role within QRT   

This team is integral to the firm’s success. As such, your responsibilities will include:   

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities   
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats 
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems   
• Proactively solving data related problems in order to minimise time to production   
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  

Your present skillset   

• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy. Experience building data workflows using FastAPI and Pydantic, and knowledge of C/C++, C# are advantageous.  
• Working knowledge of the AWS cloud ecosystem 
• 3+ years of experience as a Python Developer (or equivalent) 
• Post Graduate degree in a quantitative discipline such as Mathematics, Computer Science, Physics or Engineering. 
• Capacity to work with autonomy within a global team (researchers and data engineers)   
• Demonstrable interest in financial markets and the application of data in its analysis and understanding. Experience within equities is advantageous. 
• Experience working with both traditional and alternative financial datasets 
• A keen interest in financial markets, data analysis, and programming   
• Fast learner, intellectual curiosity, problem solver   
• Ability to work in a high-performance, high-velocity environment   
• Excellent communication skills, both written and verbal   

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.