McGregor Boyall
Role:
Python Software Developer (Equities) Location:
New York Overview
A significant global investment firm is seeking a Python Software Developer to join its New York based Equities Technology team where you’ll be instrumental in building and supporting a real-time trading platform. This role involves direct collaboration with quant researchers and portfolio managers in a fast-paced environment, requiring a hands-on approach to engineering complex, high-performance systems from the ground up. Responsibilities
Architect, develop, and enhance the firm’s core trading platform, including systems for order management, market data processing, and execution. Design and manage data engineering pipelines for both real-time and historical analytics, ensuring data integrity and performance. Provide live, business-critical support for the trading desk, troubleshooting and resolving system issues in a high-pressure environment. Collaborate directly with stakeholders, including quants and traders, to gather requirements and deliver bespoke software solutions. Implement and oversee DevOps practices, including CI/CD pipelines, automated testing, and infrastructure management to ensure system reliability. Develop sophisticated tools for trade analytics, risk management, and performance monitoring. Experience
3-10+ years of professional software development experience, with a strong emphasis on Python. Proven experience in a financial environment, preferably with exposure to equities, derivatives, or Delta1 products. Expertise in data engineering, including building ETL pipelines and working with large-scale datasets and database technologies. Proficiency with DevOps tools and methodologies (e.g., Docker, Kubernetes, CI/CD). Strong understanding of software engineering principles, data structures, and algorithms. Excellent problem-solving skills and the ability to work independently on complex technical challenges. A degree in Computer Science, Engineering, or another quantitative field is preferred. Compensation
Top-of-market compensation package, including a significant bonus.
#J-18808-Ljbffr
Python Software Developer (Equities) Location:
New York Overview
A significant global investment firm is seeking a Python Software Developer to join its New York based Equities Technology team where you’ll be instrumental in building and supporting a real-time trading platform. This role involves direct collaboration with quant researchers and portfolio managers in a fast-paced environment, requiring a hands-on approach to engineering complex, high-performance systems from the ground up. Responsibilities
Architect, develop, and enhance the firm’s core trading platform, including systems for order management, market data processing, and execution. Design and manage data engineering pipelines for both real-time and historical analytics, ensuring data integrity and performance. Provide live, business-critical support for the trading desk, troubleshooting and resolving system issues in a high-pressure environment. Collaborate directly with stakeholders, including quants and traders, to gather requirements and deliver bespoke software solutions. Implement and oversee DevOps practices, including CI/CD pipelines, automated testing, and infrastructure management to ensure system reliability. Develop sophisticated tools for trade analytics, risk management, and performance monitoring. Experience
3-10+ years of professional software development experience, with a strong emphasis on Python. Proven experience in a financial environment, preferably with exposure to equities, derivatives, or Delta1 products. Expertise in data engineering, including building ETL pipelines and working with large-scale datasets and database technologies. Proficiency with DevOps tools and methodologies (e.g., Docker, Kubernetes, CI/CD). Strong understanding of software engineering principles, data structures, and algorithms. Excellent problem-solving skills and the ability to work independently on complex technical challenges. A degree in Computer Science, Engineering, or another quantitative field is preferred. Compensation
Top-of-market compensation package, including a significant bonus.
#J-18808-Ljbffr