Quantitative Developer Python

As a Quantitative Developer at Millennium, you will be a part of the Risk Technology team, focusing on leveraging Python, Cloud infrastructure (AWS), and scientific frameworks to provide data-driven risk management solutions and dashboards to Risk Managers and Business Management. Your role will involve the following responsibilities: - Designing, developing, and maintaining data pipelines, dashboards, and analytics library. - Collaborating with risk management for rapid prototyping and delivery of solutions to enhance risk metrics and data visualization. - Designing and implementing cloud-native, data-intensive applications that effectively leverage AWS solutions. - Fitting into the active culture of Millennium by delivering timely solutions to Portfolio and Risk Managers. - Participating in evolving the overall infrastructure and architecture/design for risk systems with technology trends, tools, and best practices. To qualify for this role, you should meet the following requirements: - Minimum 2 years of experience using Python to build pipelines/dashboards using python libraries (e.g., pandas, NumPy, SciPy, Plotly). - Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure). - Prior experience in system design and data modeling, with the ability to architect scalable and efficient solutions for trading, risk management, or similar functions. - Strong analytical and mathematical skills, with interest and exposure to quantitative finance and financial products. - Relational database development experience, with a focus on designing efficient schemas and optimizing queries. - Unix/Linux command-line experience. - Ability to work independently in a fast-paced environment. - Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.,