Quantitative Developer - Python

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.