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Millennium Management
Posted 2mo ago

Quantitative Developer - Equity Factor Model Risk Technology

Millennium Management
New York, New York, United States
$175k-$250k/yrOnsiteFull Time
Responsibilities
  • architecting infrastructure
  • developing models
  • performing backtesting
Requirements
  • 3+ years Python development in buy-side firms
  • Strong cloud (AWS/GCP) experience
  • Knowledge of Spark/Trino and Delta Lake/Iceberg
  • Data lakehouse experience
  • Quantitative/statistical methods, and equity markets understanding
Technical tools mentioned
PythonAWSGCPSparkTrinoDelta LakeIcebergMSCI Barra

Job description

Quantitative Developer - Equity Factor Model Risk Technology

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 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 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 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 individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

About Millennium Management

Global alternative investment firm managing diverse investment strategies.

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