Python Developer - Equity Factor Model Risk Technology
at Millennium
Posted 17 days ago
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Millennium is seeking a senior Python developer to join the Equity Factor Risk Model Technology team to design and build equity portfolio analytics and risk model infrastructure. The role involves developing and integrating MSCI Barra and proprietary factor models, architecting scalable big-data infrastructure (Lakehouse), and automating data pipelines and research workflows. Responsibilities include extensive back-testing of factor models, supporting risk management and portfolio research processes, and collaborating closely with traders and risk teams. Strong Python, SQL, Spark/Trino, open table-format experience (Delta/Iceberg), statistics, and equity market knowledge are required.
- Compensation
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Full Job Description
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 7 years Python development experience in buy-side financial firms
Advanced working knowledge of SQL with at least 5 years of professional development experience
Experience designing and building data Lakehouse architecture is a significant plus.
Experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg is a significant plus.
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.
