Research Technology Engineer

In this role, you will be responsible for the development and maintenance of our research platform. You will play a critical role in building out the infrastructure that enables our traders and quants to simulate and translate their ideas into impactful trading strategies. They mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions.

Responsiblities

• Develop tools to organize, manage and ensure the quality of petabytes of market data using distributed file systems and databases
• Work both with normalized market data and raw captures from exchanges
• Build tooling to identify any recording or market data quality issues in close to real-time
• Guide our operations team on best practices for the deployment and maintenance of our recording stack
• Lead efforts to debug issues across the whole stack from our python data management processes to the C++ recorders and C++ market data normalization layer
• Work on storing our market data as efficiently as possible and managing historical retention
  
  The candidate
• Experience in managing and working with raw & normalized market data and other large datasets in distributed environments
• Strong programming skills: fluency in Python, C++ and to a lesser extent Java
• Exceptional problem-solving skills and ability to solve technical problems under pressure
• Great communication skills and the ability to collaborate with peers Intellectually curious and self-motivated
• Ability to communicate within and across teams, at a high and low level, on both technical and non-technical subjects
• Desire to assume responsibility and ownership for the success and progression of the research tech ecosystem
• Familiarity with Unix Linux environment and tools