Fintal Partners
Overview
Our client is looking for a Software Engineer to join their Chicago team. You’ll be at the heart of collaboration with quant researchers and traders, working to understand their workflows and deliver infrastructure and tools that support large-scale computation, research, and market data analysis. Compensation
Base pay range $200,000.00/yr - $600,000.00/yr Responsibilities
Design, build, and maintain scalable systems for compute, data access, and research tooling. Develop infrastructure to handle large-scale jobs and complex storage challenges. Collaborate with researchers and traders to understand their needs and rapidly prototype solutions. Support a global team by contributing to tools and systems used across multiple regions. Iterate quickly based on user feedback and usage patterns to continuously enhance usability and performance. Ensure seamless access to historical reference data and market data. Qualifications
3+ years software engineering experience with a strong proficiency in Java and Python. Hands-on experience managing Kubernetes clusters and containerized workloads. Deep understanding of large-scale systems, big data infrastructure, and high-performance storage. Strong interest in working alongside traders and researchers, and a drive to improve their day-to-day experience. Comfortable with fast iteration loops, prototyping, and adjusting solutions in response to feedback. Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Capital Markets
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Our client is looking for a Software Engineer to join their Chicago team. You’ll be at the heart of collaboration with quant researchers and traders, working to understand their workflows and deliver infrastructure and tools that support large-scale computation, research, and market data analysis. Compensation
Base pay range $200,000.00/yr - $600,000.00/yr Responsibilities
Design, build, and maintain scalable systems for compute, data access, and research tooling. Develop infrastructure to handle large-scale jobs and complex storage challenges. Collaborate with researchers and traders to understand their needs and rapidly prototype solutions. Support a global team by contributing to tools and systems used across multiple regions. Iterate quickly based on user feedback and usage patterns to continuously enhance usability and performance. Ensure seamless access to historical reference data and market data. Qualifications
3+ years software engineering experience with a strong proficiency in Java and Python. Hands-on experience managing Kubernetes clusters and containerized workloads. Deep understanding of large-scale systems, big data infrastructure, and high-performance storage. Strong interest in working alongside traders and researchers, and a drive to improve their day-to-day experience. Comfortable with fast iteration loops, prototyping, and adjusting solutions in response to feedback. Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Capital Markets
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