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About the role
As a Quantitative Python Developer at this company, you will be joining a high-performance technology and trading environment where you will work closely with quantitative researchers, traders, and technology teams to build scalable data-driven solutions. Key Responsibilities: - Develop and maintain Python-based applications, research frameworks, and data pipelines that support quantitative research, analytics, and trading activities. - Design, build, and optimize large-scale data processing systems handling structured and unstructured datasets. - Collaborate with quantitative researchers, traders, risk teams, and engineers to deliver production-grade solutions. - Build tools and services for data analysis, visualization, reporting, and workflow automation. - Develop APIs, microservices, and backend systems supporting research and business-critical applications. - Improve the performance, reliability, and scalability of existing platforms and infrastructure. - Work with cloud and on-premise environments to support compute-intensive workloads. - Contribute to software architecture, testing, deployment, and operational excellence. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. - 3+ years of professional software development experience. - Strong proficiency in Python with experience building production-grade applications. - Hands-on experience with data analysis libraries such as Pandas, Polars, NumPy, or similar tools. - Experience developing data pipelines, ETL processes, and large-scale data systems. - Strong understanding of Linux environments and software engineering best practices. - Experience working with SQL and relational databases. - Excellent problem-solving and analytical skills. Preferred Qualifications: - Experience within quantitative trading, hedge funds, financial technology, market-making, asset management, or capital markets environments. - Exposure to financial markets, quantitative research, risk analytics, or trading systems. - Experience with cloud technologies such as AWS, GCP, or Azure. - Familiarity with FastAPI, Django, Flask, or other backend frameworks. - Knowledge of distributed computing, containerization, Docker, or Kubernetes. - Experience working with large-scale datasets and performance optimization. - Exposure to machine learning, statistical modelling, or quantitative analytics. In addition to the above responsibilities and qualifications, the company offers you an opportunity to work alongside world-class engineers and quantitative professionals. You will have exposure to large-scale datasets and cutting-edge technology in a fast-paced, collaborative, and intellectually stimulating environment. You will also have significant ownership and impact on business-critical systems and platforms. As a Quantitative Python Developer at this company, you will be joining a high-performance technology and trading environment where you will work closely with quantitative researchers, traders, and technology teams to build scalable data-driven solutions. Key Responsibilities: - Develop and maintain Python-based applications, research frameworks, and data pipelines that support quantitative research, analytics, and trading activities. - Design, build, and optimize large-scale data processing systems handling structured and unstructured datasets. - Collaborate with quantitative researchers, traders, risk teams, and engineers to deliver production-grade solutions. - Build tools and services for data analysis, visualization, reporting, and workflow automation. - Develop APIs, microservices, and backend systems supporting research and business-critical applications. - Improve the performance, reliability, and scalability of existing platforms and infrastructure. - Work with cloud and on-premise environments to support compute-intensive workloads. - Contribute to software architecture, testing, deployment, and operational excellence. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. - 3+ years of professional software development experience. - Strong proficiency in Python with experience building production-grade applications. - Hands-on experience with data analysis libraries such as Pandas, Polars, NumPy, or similar tools. - Experience developing data pipelines, ETL processes, and large-scale data systems. - Strong understanding of Linux environments and software engineering best practices. - Experience working with SQL and relational databases. - Excellent problem-solving and analytical skills. Preferred Qualifications: - Experience within quantitative trading, hedge funds, financial technology, market-making, asset management, or capital markets environments. - Exposure to financial markets, quantitative research, risk analytics, o
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