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Fintal Partners

Senior Software Engineer (Python)

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Summary

Senior Python engineer at a quantitative trading firm, owning the core Python data platform used by quants and traders — designing, automating, and running distributed data systems (petabytes, hybrid CPU/GPU) with NumPy/Pandas/Polars/Cython, Docker/Kubernetes, and Ansible/Terraform/Airflow, based in New York.

Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure.


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What Makes This Role Unique?

  • Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies.
  • Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions.
  • Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code;
    you're actively accelerating research and solving complex problems that improve the daily operations.
  • Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow).


Who We're Looking For

  • An experienced engineer with a track record of building and scaling robust, distributed systems.
  • A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython.
  • Proficiency with containerization technologies such as Docker and Kubernetes. xzgxqkn
  • Experience with orchestration tools like Ansible, Terraform, or Airflow.

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