Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology Team, which is responsible for designing and developing equity portfolio analytics framework, including MSCI Barra equity factor risk models.
Principal Responsibilities
- Build expertise in Barra and proprietary factor risk models
- Architect and build big data infrastructure with the goal of an automated portfolio research environment
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
- Work with portfolio research team on the development and integration of new analytics models into the firm's delivery platforms
- Perform extensive back-testing of existing and new risk factor models
- Support and run processes for risk management and equity portfolio research
Required Skills
- Minimum of 5 years Python development experience in buy-side financial firms
- Advanced working knowledge of SQL with at least 3 years of professional development experience
- Experience working with distributed compute such as Spark and/or Ray, and expertise with open table formats such as Parquet/Delta Lake and/or Iceberg is a significant plus.
- Experience working with cloud platforms, particularly AWS and containerization and orchestration tools such as Docker and Kubernetes
- Experience in building scalable data services and REST APIs to handle high loads efficiently
- Strong working knowledge of statistics.
- Broad understanding of equity markets and portfolio construction.
- Strong communication skills, as this role involves direct communication with risk management and trading.
- Detail-oriented, a quick learner, and able to adapt to a dynamic, high-paced environment.
- Demonstrated track record of success in challenging environments.
