Python Developer

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. 

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Responsibilities:

• Working on team’s core python data science platform to support global trading research
• Building ETL pipelines on top of internal and external data sources to drive business analytics
• Researching solutions to allow increasingly sophisticated visualizations
• Developing / improving frameworks to better leverage our cloud + on-prem compute and storage clusters
• Developing, testing and documenting existing in-house tools to improve their quality, reliability and supportability
• Automating existing support workflows to reduce operational burden and design new tools to improve efficiency

Qualifications:

The ideal candidate will have:

• ​A bachelor’s degree in computer science from a top-tier college or university
• 3 to 5 years of relevant experience in designing and improving information systems.
• Proficiency with Python and knowledge of NumPy, Pandas/Polars, Cython and other python data science frameworks
• Thorough understanding of Linux fundamentals and C++ compiling/linking/loading process. 
• Experience with Source Control Management, CI/CD pipelines, ELK and other observability frameworks will be an added advantage
• Brilliant problem-solving abilities. Most problems require high-availability, high-throughput and low latency solutions.

Benefits :