Quantitative Developer ? Python

Job Description

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. Risk Technology team is looking for a Quantitative Developer who would leverage Python, Cloud infrastructure (AWS), and scientific frameworks to provide data-driven risk management solutions and dashboards to Risk Managers, & Business Management. Responsibilities Design, develop, and maintain data pipelines, dashboards and analytics library. Collaborate with risk management for rapid prototyping and delivery of solutions to enhancement risk metrics and data visualization. Design and implement cloud-native, data-intensive applications that effectively leverage AWS solutions Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers Participate in evolving overall infrastructure and architecture/design for risk systems with technology trends, tools and best practices. Requirements Minimum 2 years of experience using Python to build piplelines/dashboards using python libraries (e.g., pandas, NumpPy, SciPy, Plotly). Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure). Prior experience in system design and data modelling, 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.