Sr. Software Engineer

Interactive Brokers GroupNew York, NY
$180,000 - $185,000Hybrid

About The Position

The Sr. Software Engineer will be responsible for building, developing, and maintaining the company’s compliance surveillance infrastructure. This role involves collaborating with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable software designs and processes. The engineer will architect and implement large-scale data pipelines and surveillance models that process massive volumes of financial data. Responsibilities include designing database schemas and query logic for multi-terabyte surveillance datasets, ensuring system stability and alignment with regulatory requirements, and developing software to accelerate workflows and system monitoring. Documentation of methodologies to withstand regulatory scrutiny is also a key aspect of this role. The position is hybrid, requiring 3 days/week in the NYC office and allowing remote work for the remaining 2 days.

Requirements

  • Master’s degree or foreign equivalent in Computer Science or related field.
  • Three (3) years of experience in a software development/engineering position developing with Python (non-scripting).
  • Developing production-grade Python applications.
  • Developing in a Linux environment, including command-line automation, package management, and deployment tasks.
  • Pandas, Polars, NumPy, and Oracle SQL to build and manage large-scale data pipelines, and analytical models.
  • Jira automation and REST API programming.
  • Python Flask servers using RESTful APIs.
  • Developing Jenkins pipelines for automated build, test, and deployment of Python applications.
  • Trade and market surveillance model development.
  • Analyzing financial data, including trade and securities data for market surveillance.
  • Git and Gerrit for version control and peer code reviews.

Responsibilities

  • Build, develop, and maintain company’s compliance surveillance infrastructure.
  • Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable software designs and processes.
  • Architect and implement large-scale data pipelines and surveillance models that process massive volumes of financial data.
  • Design database schemas and query logic to efficiently handle multi-terabyte surveillance datasets, ensuring data consistency and traceability.
  • Ensure systems are stable and aligned with regulatory and operational requirements.
  • Work with compliance department to implement necessary system and software changes to ensure effective market surveillance.
  • Develop software to accelerate workflows and system monitoring.
  • Document methodologies to withstand regulatory scrutiny and examination.
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