What You'll Do: - Develop and maintain high-performance Python applications for trading, research, and risk management. - Collaborate with traders, researchers, and quants to design scalable and efficient software solutions. - Build automation tools that enhance trading workflows and optimize research capabilities. - Deploy, test, and iterate rapidly to drive continuous improvements. - Balance trade-offs between latency, throughput, scalability, and maintainability. Your Responsibilities Will Include: - Writing clean, efficient, and scalable Python code. - Enhancing quantitative research infrastructure, including back-testing frameworks and distributed computing tools. - Building tools for trade analysis, visualization, and automation. - Implementing CI/CD pipelines, automated testing, and cloud-based data processing solutions. - Working with numerical computing frameworks like Pandas, NumPy, and Dask. - Managing containerized environments using Docker and Kubernetes. - Collaborating closely with cross-functional teams, ensuring smooth communication between engineers and traders. About You: - 5 years of professional experience in Python software development. - Strong background in numerical computing and data processing. - Experience with cloud-based infrastructure, Kubernetes, and containerized environments. - Familiarity with distributed computing frameworks such as Dask or Spark. - Passion for problem-solving and technical innovation. - Strong communication skills and ability to work in a collaborative environment. - Financial industry experience is not required, but curiosity and a drive to learn are essential. Innovate. Optimize. Lead. If you’re passionate about Python development and want to work in a high-impact, fast-paced environment, join us to shape the future of trading and research technology! PythonEngineering QuantTech FinTech TradingSystems DataScience Automation HighPerformanceComputing DistributedSystems CloudComputing QuantResearch AlgoTrading Kubernetes CI/CD MachineLearning DevOps
