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About the Role

This role involves building, developing, and maintaining the company's compliance surveillance infrastructure, collaborating with cross-functional teams to translate business requirements into scalable software solutions, and ensuring system stability and regulatory alignment.

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.

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).
• 3 years of experience developing production-grade Python applications.
• 3 years of experience developing in a Linux environment, including command-line automation, package management, and deployment tasks.
• 3 years of experience with Pandas, Polars, NumPy, and Oracle SQL to build and manage large-scale data pipelines, and analytical models.
• 3 years of experience with Jira automation and REST API programming.
• 3 years of experience with Python Flask servers using RESTful APIs.
• 3 years of experience developing Jenkins pipelines for automated build, test, and deployment of Python applications.
• 3 years of experience with trade and market surveillance model development.
• 3 years of experience analyzing financial data, including trade and securities data for market surveillance.
• 3 years of experience with Git and Gerrit for version control and peer code reviews.

Skills

• Python
• Linux
• Pandas
• Polars
• NumPy
• Oracle SQL
• Jira automation
• REST API programming
• Python Flask
• Jenkins pipelines
• Trade and market surveillance model development
• Financial data analysis
• Git
• Gerrit

Location

• New York, NY

Work Type

• Hybrid: Remote work permissible 2 days/week
• Must work from NYC office 3 days/week

Experience Level

• 3 years of experience

Education Level

• Master’s degree or foreign equivalent in Computer Science or related field

Salary/Compensations

• $180,000 to $185,000 per year

Equal Opportunity

• EOE