Quantitative Developer - Equity Factor Model Risk Technology

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 (a significant plus)
• Experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg (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

Pay

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.