
Posted 17 days ago
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Millennium's Risk Technology team seeks a Quantitative Developer proficient in Python to build data pipelines, dashboards, and analytics for risk management. The role involves designing cloud-native (AWS) data-intensive applications and collaborating with risk managers to prototype and deliver risk metrics and visualizations. Candidates should have system design and data modeling experience, relational database skills, Unix/Linux familiarity, and a strong analytical background with interest in quantitative finance. Minimum two years of Python experience and experience with cloud services are required.
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Full 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.





