Description

Senior Quantitative Engineer - Cutting-Edge Hedge Fund

A pioneering hedge fund is seeking a Senior Quantitative Engineer to join its team and help redefine how data and machine learning drive investment strategies. This firm leverages advanced technology and a global network of predictive models to stay ahead in the markets, with a mission to transform massive, complex datasets into actionable insights that generate alpha.

Responsibilities

• Architect and enhance systems powering research, data pipelines, and trading.
• Source and evaluate new datasets, build models to assess their predictive value, and integrate them into the firm's strategy.
• Research and implement portfolio management and execution frameworks.
• Produce clear, data-driven research reports and productionize successful strategies.
• Lead major projects, mentor peers, and raise the engineering bar across the organization.

Tech Stack

• Languages & Libraries: Python (Pandas, NumPy, Scikit-Learn)
• Cloud & Infrastructure: AWS (S3, EC2, Batch), Airflow, Terraform, Docker
• Databases: Postgres, MySQL

Example Projects

• Integrate new risk models into portfolio management and evaluate their impact.
• Research and apply data transformations to improve machine learning performance.
• Trial and onboard alternative datasets to enhance predictive capabilities.

Qualifications

• Proven experience training and deploying machine learning models.
• Strong background in quantitative finance data.
• Expertise in building scalable data platforms.
• Exceptional written communication for technical documentation and research.
• Ownership mindset and strong debugging skills.