Python Developer - EQ Factor Model Risk Technology

Millennium•New York, NY

7d•$175,000 - $250,000•Onsite

About The Position

Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology team, which is responsible for building and enhancing the firm’s equity portfolio analytics platform, including support for MSCI Barra equity factor risk models and the delivery of real-time analytics. This is an opportunity to work on highly data-intensive, compute-heavy distributed systems that power both historical and real-time portfolio analytics. The role offers strong learning potential, exposure to challenging technical problems, and the chance to contribute to impactful work at the intersection of engineering, data, and quantitative analytics.

Requirements

Minimum of 3+ years Python development experience in buy-side financial firms
Advanced working knowledge of SQL
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.

Nice To Haves

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.

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