Algo Capital Group
Overview
A leading global trading firm is looking to hire an experienced Software Engineer to join their Systematic Credit Mid-Frequency Trading team. This team is expanding rapidly due to strong performance and is focused on building scalable, high-performance systems that drive systematic credit strategies across global markets. In this role, you will work closely with traders and quantitative researchers to design, implement, and optimize core components of the credit MFT trading infrastructure. This is a high-visibility opportunity within a deeply technical team operating at the intersection of finance, data, and engineering. Responsibilities Design, develop, and maintain robust, high-performance systems for mid-frequency credit trading, focusing on scalability, latency, and reliability. Work closely with quantitative researchers and traders to integrate new signals, models, and execution logic into production environments. Contribute to the evolution of a modern trading stack that supports strategy research, risk analysis, and execution in real time. Improve performance across the full stack from market data handling to order generation and post-trade processing. Collaborate across teams to ensure smooth deployment, testing, and monitoring of trading systems in live markets.
Qualifications
Strong programming experience in C++ and Python, with a focus on system-level performance Prior experience working on systematic or algorithmic trading systems, ideally in credit, fixed income, or related asset classes Familiarity with the requirements and architecture of mid-frequency trading platforms, including batch-based alpha integration and efficient order routing Demonstrated ability to deliver complex engineering projects in a trading environment, working independently and as part of a cross-functional team Solid understanding of market microstructure and data feeds relevant to credit markets Degree in Computer Science, Engineering, Mathematics, or a related technical field
This role offers the chance to be at the core of a fast-growing, high-performing systematic credit team. Youll contribute directly to the evolution of cutting-edge trading infrastructure, working alongside exceptional talent in both engineering and quantitative research. If you're interested in joining a fast-paced, intellectually rigorous environment where your work directly drives trading outcomes, we invite you to apply. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst, Finance, and Engineering Industries: Financial Services, Engineering Services, and Capital Markets
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A leading global trading firm is looking to hire an experienced Software Engineer to join their Systematic Credit Mid-Frequency Trading team. This team is expanding rapidly due to strong performance and is focused on building scalable, high-performance systems that drive systematic credit strategies across global markets. In this role, you will work closely with traders and quantitative researchers to design, implement, and optimize core components of the credit MFT trading infrastructure. This is a high-visibility opportunity within a deeply technical team operating at the intersection of finance, data, and engineering. Responsibilities Design, develop, and maintain robust, high-performance systems for mid-frequency credit trading, focusing on scalability, latency, and reliability. Work closely with quantitative researchers and traders to integrate new signals, models, and execution logic into production environments. Contribute to the evolution of a modern trading stack that supports strategy research, risk analysis, and execution in real time. Improve performance across the full stack from market data handling to order generation and post-trade processing. Collaborate across teams to ensure smooth deployment, testing, and monitoring of trading systems in live markets.
Qualifications
Strong programming experience in C++ and Python, with a focus on system-level performance Prior experience working on systematic or algorithmic trading systems, ideally in credit, fixed income, or related asset classes Familiarity with the requirements and architecture of mid-frequency trading platforms, including batch-based alpha integration and efficient order routing Demonstrated ability to deliver complex engineering projects in a trading environment, working independently and as part of a cross-functional team Solid understanding of market microstructure and data feeds relevant to credit markets Degree in Computer Science, Engineering, Mathematics, or a related technical field
This role offers the chance to be at the core of a fast-growing, high-performing systematic credit team. Youll contribute directly to the evolution of cutting-edge trading infrastructure, working alongside exceptional talent in both engineering and quantitative research. If you're interested in joining a fast-paced, intellectually rigorous environment where your work directly drives trading outcomes, we invite you to apply. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst, Finance, and Engineering Industries: Financial Services, Engineering Services, and Capital Markets
Referrals increase your chances of interviewing at Algo Capital Group. #J-18808-Ljbffr