Millennium is looking to leverage innovations in technology and data science to solve complex problems for the business, specifically in Equity Derivatives risk management
Requirements
- Minimum 2 years of experience using Python and scientific python libraries (e.g., pandas, NumPy, SciPy).
- 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.
- Relational database development experience, with a focus on designing efficient schemas and optimizing queries.
- Unix/Linux command-line experience.
Responsibilities
- Work in the intersection of Portfolio Management, Risk Management and Quantitative Research to develop risk analytics solutions for Equity Derivatives businesses.
- Collaborate with risk management for rapid prototyping and delivery of solutions to enhancement risk metrics.
- Develop data ingestion pipelines and analytics the generated information.
- 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
Other
- Bachelor’s degree in Computer Science or a related field
- Ability to work independently in a fast-paced environment.
- Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.
