Python Developer
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Key skills for this role
Key Skills for This Role
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About Tower Research Capital
Tower Research Capital develops electronic trading infrastructure and supports portfolio managers, trading strategies, market access, data, compute, research infrastructure, risk management, and business services.
Engineering work spans low-latency programming, FPGA technology, hardware acceleration, and machine learning.
Responsibilities
- Work on the team's core Python data science platform supporting global trading research.
- Build ETL pipelines using internal and external data sources to support business analytics.
- Research solutions for increasingly sophisticated visualizations.
- Develop and improve frameworks that leverage cloud and on-premises compute and storage clusters.
- Develop, test, and document in-house tools to improve quality, reliability, and supportability.
- Automate support workflows and design tools to improve operational efficiency.
Qualifications
- Bachelor's degree in computer science from a top-tier college or university.
- Three to five years of relevant experience designing and improving information systems.
- Proficiency with Python and knowledge of NumPy, Pandas or Polars, Cython, and other Python data science frameworks.
- Thorough understanding of Linux fundamentals and the C++ compiling, linking, and loading process.
- Strong problem-solving abilities for high-availability, high-throughput, and low-latency solutions.
Additional Advantage
- Experience with source control management, CI/CD pipelines, ELK, and other observability frameworks is an added advantage.
Benefits and Culture
- Tower offers paid time off, regional savings and financial wellness plans, hybrid working opportunities, meals and snacks, wellness benefits, learning opportunities, and social activities.
- The company describes a collaborative, welcoming, diverse workplace with a performance-focused culture and minimal hierarchy.
Workplace
- Hybrid working opportunities are available.
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