
at Millennium
Hedge FundsPosted 3 days ago
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**Quantitative Developer (Equity Factor Model Risk Tech)** - Join Millennium's Equity Factor Risk Model Technology team. Build & enhance equity portfolio analytics platform, manage data-intensive distributed systems, and collaborate with portfolio research to drive impact. **Responsibilities** include: mastering Barra and proprietary risk models, architecting big data infrastructure, optimizing data pipelines, integrating new analytics models, and conducting extensive back-testing. **Required Skills**: 3+ years Python development experience in buy-side financial firms, cloud compute expertise (AWS/GCP), quantitative and statistical methods, understanding of equity markets, strong communication skills, and proven success in challenging environments. **Apply** if you're a detail-oriented quick learner seeking a dynamic, high-paced role.
- Compensation
- $175,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology team, which is responsible for building and enhancing the firms equity portfolio analytics platform, including building internal factor model, supporting 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.
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 firms 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 3+ years Python development experience in buy-side financial firms
Advanced working knowledge of Cloud Compute like AWS or GCP.
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.
Experience applying quantitative and statistical methods to support data-driven analysis and decision-making.
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.
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. When finalizing an offer, we take into consideration an individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.




