Fintal Partners
Overview
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. Base pay range
$250,000.00/yr - $400,000.00/yr What makes this role unique
Impact at Scale:
You will own the core Python platform, building the foundation that enables global trading research and rapid deployment of new strategies and technologies. Full-Stack Ownership:
You will manage the entire system lifecycle, from design to production, with emphasis on automation, robustness, and observability for extreme market conditions. Direct Partnership with Quants:
You will collaborate closely with quantitative researchers to accelerate research and solve complex problems that improve daily operations. Autonomy and Modern Tooling:
You will work with a cutting-edge tech stack including Python (NumPy, Pandas/Polars, Cython), Docker, Kubernetes, Ansible, Terraform, and Airflow. Who we're looking for
An experienced engineer with a track record of building and scaling robust, distributed systems. Strong Python proficiency with hands-on experience using libraries such as NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow. Seniority level
Mid-Senior level Employment type
Full-time
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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. Base pay range
$250,000.00/yr - $400,000.00/yr What makes this role unique
Impact at Scale:
You will own the core Python platform, building the foundation that enables global trading research and rapid deployment of new strategies and technologies. Full-Stack Ownership:
You will manage the entire system lifecycle, from design to production, with emphasis on automation, robustness, and observability for extreme market conditions. Direct Partnership with Quants:
You will collaborate closely with quantitative researchers to accelerate research and solve complex problems that improve daily operations. Autonomy and Modern Tooling:
You will work with a cutting-edge tech stack including Python (NumPy, Pandas/Polars, Cython), Docker, Kubernetes, Ansible, Terraform, and Airflow. Who we're looking for
An experienced engineer with a track record of building and scaling robust, distributed systems. Strong Python proficiency with hands-on experience using libraries such as NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow. Seniority level
Mid-Senior level Employment type
Full-time
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