Description
We are seeking an exceptional individual to join our Equity Factor Risk Model Technology team. As a Quantitative Developer, you will play a key role in building and enhancing our equity portfolio analytics platform. Your responsibilities will include building expertise in Barra and proprietary factor risk models, architecting and building big data infrastructure, and identifying and implementing internal process improvements. You will also work with our portfolio research team to develop and integrate new analytics models into our delivery platforms.
This is an opportunity to work on highly data-intensive, compute-heavy distributed systems that power both historical and real-time portfolio analytics. You will have 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.
To succeed in this role, you will need a minimum of 3+ years of Python development experience in a buy-side financial firm, advanced working knowledge of Cloud Compute like AWS or GCP, and experience designing and building data Lakehouse architecture. You will also need experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg. Additionally, you will need broad understanding of equity markets and portfolio construction, strong communication skills, and detail-oriented approach.
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.