Sr. Software Engineer

Sr.

Software Engineer (New York, NY) (Hybrid: Remote work permissible 2 days/week) (multiple positions)

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.

Remote work permissible 2 days/week.

Must work from NYC office 3 days/week.

Master’s degree or foreign equivalent in Computer Science or related field, and three (3) years of experience in a software development/engineering position developing with Python (non-scripting) .

Must have 3 years of experience with each of the following:

• 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.