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Front Office Software Engineer - Trading Systems

Phaxis Consulting — United States · Posted ~2 hours ago

Senior Full-time

Skills

Software Engineering Object-Oriented Programming System Design Financial Technology C++ Java Python

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Summary ✨ AI‑Generated

An investment technology team is seeking an experienced engineer to develop scalable trading and analytics systems. The role involves performance-focused engineering and collaboration with domain experts.

Highlights

Build high-performance systems that support investment decisions and collaborate closely with technical and business experts.

Description

A high-performing investment firm is looking to add an experienced engineer to its Front Office Technology team. This group builds and supports the systems that directly enable investment decision-making across the business. This role partners closely with portfolio managers, traders, and quantitative teams to develop scalable, high-performance solutions. It offers broad exposure across strategies and a chance to contribute to the evolution of core trading and pricing infrastructure. Responsibilities:Design, develop, and support a global pricing and analytics platform with a focus on performance, scalability, and stability.Build tools and applications that enhance risk analysis and investment decision-making.Work directly with front office users to understand requirements and deliver robust solutions.Collaborate with engineering teams across the firm to solve complex technical challenges. Skills:Experience building scalable production level systems in an object-oriented language ( Java or C# )Experience working with fixed income derivatives4+ years' working experience in the buy or sell side in a financial firmMinimum bachelor's degree in computer science, engineering, physics or a related fieldExperience building enterprise software in C++ or PythonExposure to market data feeds, pricing / risk systems or trading systemsProduct knowledge in equites / equity derivativesPractical experience with AI-assisted coding in a production environment.